Langchain In Your Pocket

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LangChain in your Pocket

Author : Mehul Gupta
Publisher : Mehul Gupta
ISBN 13 :
Total Pages : 152 pages
Book Rating : 4./5 ( download)

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Book Synopsis LangChain in your Pocket by : Mehul Gupta

Download or read book LangChain in your Pocket written by Mehul Gupta and published by Mehul Gupta. This book was released on 2024-01-28 with total page 152 pages. Available in PDF, EPUB and Kindle. Book excerpt: Unlock the full potential of Generative AI with "LangChain in your Pocket", a hands-on guide that takes you through the robust LangChain framework. This book provides a step-by-step journey into creating powerful applications, from Auto-SQL and NER to custom Agents and Chains, integrating Memory, OutputParsers, RAG for Q&A, Few-Shot Classification, Evaluators, Autonomous AI agents, Advanced Prompt Engineering and many more. NOTE: Drop an email to [email protected] with the transaction receipt for a free PDF version. Key Features: Step-by-step code explanations with expected outputs for each solution. No prerequisites: If you know Python, you're ready to dive in. Practical, hands-on guide with minimal mathematical explanations. Book Description: Since the arrival of ChatGPT in late 2022, the AI landscape has evolved dramatically. "LangChain in your Pocket" invites you to move beyond ChatGPT and explore the versatility of LangChain, a Python/JavaScript framework at the forefront of Large Language Models (LLMs). Whether you're building Classification models, Storyteller, or Internet-enabled GPT, LangChain empowers you to do more. This beginner-friendly introduction covers: Basics of Large Language Models (LLMs) and why LangChain is pivotal. Hello World tutorial for setting up LangChain and creating baseline applications. In-depth chapters on each LangChain module. Advanced problem-solving, including Multi-Document RAG, Hallucinations, NLP chains, and Evaluation for LLMs for supervised and unsupervised ML problems. Dedicated sections for Few-Shot Learning, Advanced Prompt Engineering using ReAct, Autonomous AI agents, and deployment using LangServe. Who should read it? This book is for anyone keen on exploring AI, especially Generative AI. Whether you're a Software Developer, Data Scientist, Student or Content Writer, the focus on diverse use cases in LangChain and GenAI makes it equally valuable to all. Table of Contents Introduction Hello World Different LangChain Modules Models & Prompts Chains Agents OutputParsers & Memory Callbacks RAG Framework & Vector Databases LangChain for NLP problems Handling LLM Hallucinations Evaluating LLMs Advanced Prompt Engineering Autonomous AI agents LangSmith & LangServe Additional Features

Generative Deep Learning

Author : David Foster
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1492041890
Total Pages : 360 pages
Book Rating : 4.4/5 (92 download)

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Book Synopsis Generative Deep Learning by : David Foster

Download or read book Generative Deep Learning written by David Foster and published by "O'Reilly Media, Inc.". This book was released on 2019-06-28 with total page 360 pages. Available in PDF, EPUB and Kindle. Book excerpt: Generative modeling is one of the hottest topics in AI. It’s now possible to teach a machine to excel at human endeavors such as painting, writing, and composing music. With this practical book, machine-learning engineers and data scientists will discover how to re-create some of the most impressive examples of generative deep learning models, such as variational autoencoders,generative adversarial networks (GANs), encoder-decoder models and world models. Author David Foster demonstrates the inner workings of each technique, starting with the basics of deep learning before advancing to some of the most cutting-edge algorithms in the field. Through tips and tricks, you’ll understand how to make your models learn more efficiently and become more creative. Discover how variational autoencoders can change facial expressions in photos Build practical GAN examples from scratch, including CycleGAN for style transfer and MuseGAN for music generation Create recurrent generative models for text generation and learn how to improve the models using attention Understand how generative models can help agents to accomplish tasks within a reinforcement learning setting Explore the architecture of the Transformer (BERT, GPT-2) and image generation models such as ProGAN and StyleGAN

Handbook of MRP II and JIT

Author : John N. Petroff
Publisher :
ISBN 13 : 9780133741582
Total Pages : 0 pages
Book Rating : 4.7/5 (415 download)

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Book Synopsis Handbook of MRP II and JIT by : John N. Petroff

Download or read book Handbook of MRP II and JIT written by John N. Petroff and published by . This book was released on 1993 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: It's no secret that Manufacturing Resource Planning (MRP II) and Just-in-Time (JIT) systems hold the key to fast response to customer demands, lower total costs, and minimum product defects. That, indeed, they are indispensable for achieving world-class performance and competing successfully in the global marketplace. Yet as manufacturing expert and consultant John Petroff has discovered in working with firms in the U.S. and abroad, few manufacturing businesses are taking full advantage of MRP II and JIT to improve their planning, scheduling, and control. And businesses with an MRP I or older system in place aren't sure how to make the smoothest transition to a more advanced and integrated manufacturing operation. In the Handbook of MRP II and JIT, Petroff provides the hands-on guidance and ready-to-use tools that enable any manufacturer to set up the most effective companywide MRP II/JIT-based system while avoiding common and costly mistakes. All this practical information is organized into 12 chapters, for quick access and easy use. Chapter 1 gives you an overview of the main elements necessary to optimize operating efficiency and competitiveness - including two vital prerequisites for implementing Total Management and how to use a powerful but virtually unknown strategy called Time Compression to perform administrative tasks with the fewest delays as they pass from department to department. Chapter 2 shows how to most effectively manage the demand side of your business. Sample strategic, marketing, and sales plans - utilizing new techniques like tracking signals and time-phased order points - make it easy to prepare amazingly accurate forecasts for everything from families ofproducts to unit production at various plant locations. Chapter 3 shows how to apply the newest and best MRP II methods to manage supplies, including multi-level, capacity, and material requirements planning. Plus, model production plans illustrate step by step how you can prevent shortages of parts and components and minimize throughput time. Other chapters give you proven accounting techniques to record key data like work-in-process and accounts payable and better measure costs ... ways to eliminate problems with your Master Production Schedule ... and JIT-based strategies to improve product quality and assure on-time delivery to customers. Throughout the Handbook, real-life examples illustrate how other manufacturing companies of all types and sizes have used MRP II and JIT to achieve dramatic improvements in profits and customer satisfaction.

Remote Sensing Digital Image Analysis

Author : John A. Richards
Publisher : Springer Science & Business Media
ISBN 13 : 3662024624
Total Pages : 297 pages
Book Rating : 4.6/5 (62 download)

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Book Synopsis Remote Sensing Digital Image Analysis by : John A. Richards

Download or read book Remote Sensing Digital Image Analysis written by John A. Richards and published by Springer Science & Business Media. This book was released on 2013-04-17 with total page 297 pages. Available in PDF, EPUB and Kindle. Book excerpt: With the widespread availability of satellite and aircraft remote sensing image data in digital form, and the ready access most remote sensing practitioners have to computing systems for image interpretation, there is a need to draw together the range of digital image processing procedures and methodologies commonly used in this field into a single treatment. It is the intention of this book to provide such a function, at a level meaningful to the non-specialist digital image analyst, but in sufficient detail that algorithm limitations, alternative procedures and current trends can be appreciated. Often the applications specialist in remote sensing wishing to make use of digital processing procedures has had to depend upon either the mathematically detailed treatments of image processing found in the electrical engineering and computer science literature, or the sometimes necessarily superficial treatments given in general texts on remote sensing. This book seeks to redress that situation. Both image enhancement and classification techniques are covered making the material relevant in those applications in which photointerpretation is used for information extraction and in those wherein information is obtained by classification.

Small Group Communication

Author : Ernest G. Bormann
Publisher : HarperCollins Publishers
ISBN 13 :
Total Pages : 324 pages
Book Rating : 4.3/5 ( download)

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Book Synopsis Small Group Communication by : Ernest G. Bormann

Download or read book Small Group Communication written by Ernest G. Bormann and published by HarperCollins Publishers. This book was released on 1990 with total page 324 pages. Available in PDF, EPUB and Kindle. Book excerpt:

SanFrancisco Component Framework

Author : Paul Monday
Publisher : Addison Wesley Longman
ISBN 13 : 9780201615876
Total Pages : 372 pages
Book Rating : 4.6/5 (158 download)

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Book Synopsis SanFrancisco Component Framework by : Paul Monday

Download or read book SanFrancisco Component Framework written by Paul Monday and published by Addison Wesley Longman. This book was released on 2000 with total page 372 pages. Available in PDF, EPUB and Kindle. Book excerpt: "The SanFrancisco Application Business Components product from IBM fills a long-standing need in the business applications development industry. One of the most ambitious projects ever based on object-oriented design patterns and Java technology, SanFrancisco is a set of frameworks that provides a platform-independent infrastructure and ready-built components for constructing business applications." "Written by key members of the SanFrancisco team at IBM, this book introduces the SanFrancisco product, describes its major components, and shows how to use it to create business applications. SanFrancisco Component Framework provides an overview of SanFrancisco's architecture and comprehensive coverage of its three layers: The Foundation, Common Business Objects, and Core Business Processes."--BOOK JACKET.Title Summary field provided by Blackwell North America, Inc. All Rights Reserved

Intrapersonal Communication Processes

Author : Charles V. Roberts
Publisher : Spectra, Incorporated, Publishers
ISBN 13 :
Total Pages : 642 pages
Book Rating : 4.4/5 (91 download)

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Book Synopsis Intrapersonal Communication Processes by : Charles V. Roberts

Download or read book Intrapersonal Communication Processes written by Charles V. Roberts and published by Spectra, Incorporated, Publishers. This book was released on 1989 with total page 642 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Evolution Without Selection

Author : A. Lima-de-Faria
Publisher : Elsevier Publishing Company
ISBN 13 :
Total Pages : 408 pages
Book Rating : 4.:/5 (318 download)

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Book Synopsis Evolution Without Selection by : A. Lima-de-Faria

Download or read book Evolution Without Selection written by A. Lima-de-Faria and published by Elsevier Publishing Company. This book was released on 1988 with total page 408 pages. Available in PDF, EPUB and Kindle. Book excerpt: The interpretation of evolution is in a state of upheaval: the rapid advancement of Molecular Biology has led into question many of the tenets of Darwinism and neo-Darwinism which, although valuable approaches at the time they were formulated, never fulfilled the criteria demanded by real scientific theories. In this lucidly written new book, now available in paperback, the author presents and discusses the rapid developments in particle physics, crystallography and molecular biology, and formulates a radically different approach to biological evolution. This treatise is not offered as one more new theory but a radically different approach. In the author's opinion, no real theory of evolution can be formulated at present. Selection is not the mechanism of evolution for the simple reason that it cannot be weighed on a balance, poured into a vial, or measured in specific units. Only a material component can be the mechanism of evolution, and this must be searched for in the strict physico-chemical processes.

Data Science on AWS

Author : Chris Fregly
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1492079367
Total Pages : 524 pages
Book Rating : 4.4/5 (92 download)

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Book Synopsis Data Science on AWS by : Chris Fregly

Download or read book Data Science on AWS written by Chris Fregly and published by "O'Reilly Media, Inc.". This book was released on 2021-04-07 with total page 524 pages. Available in PDF, EPUB and Kindle. Book excerpt: With this practical book, AI and machine learning practitioners will learn how to successfully build and deploy data science projects on Amazon Web Services. The Amazon AI and machine learning stack unifies data science, data engineering, and application development to help level upyour skills. This guide shows you how to build and run pipelines in the cloud, then integrate the results into applications in minutes instead of days. Throughout the book, authors Chris Fregly and Antje Barth demonstrate how to reduce cost and improve performance. Apply the Amazon AI and ML stack to real-world use cases for natural language processing, computer vision, fraud detection, conversational devices, and more Use automated machine learning to implement a specific subset of use cases with SageMaker Autopilot Dive deep into the complete model development lifecycle for a BERT-based NLP use case including data ingestion, analysis, model training, and deployment Tie everything together into a repeatable machine learning operations pipeline Explore real-time ML, anomaly detection, and streaming analytics on data streams with Amazon Kinesis and Managed Streaming for Apache Kafka Learn security best practices for data science projects and workflows including identity and access management, authentication, authorization, and more

Wind: a Flow-Based Programming Language

Author : Joshua Weinstein
Publisher :
ISBN 13 : 9781720190578
Total Pages : 43 pages
Book Rating : 4.1/5 (95 download)

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Book Synopsis Wind: a Flow-Based Programming Language by : Joshua Weinstein

Download or read book Wind: a Flow-Based Programming Language written by Joshua Weinstein and published by . This book was released on 2018-09-09 with total page 43 pages. Available in PDF, EPUB and Kindle. Book excerpt: Wind is a flow-based programming language intended for ultra fast performance, and high portability. It's a language meant to be used on embedded systems, or for resource-constrained systems. Wind allows fast, efficient manipulation and processing of dynamically typed data, without using dynamic memory allocation. It supports common collection operations such as mapping, filtering, and reduction. This book details the paradigm of flow-based programming in a new perspective, dealing with optimizing small scale environments for large scale work. The first section of the book covers the fundamentals of flow-based programming relevant to understanding the Wind language. The next section delves into the syntax and type system of Wind. One of the huge advantages of Wind is it uses a compact, byte-sized type system that can write data to files and easily load it again later. This section also covers the commands and flow of source code to optimize programming in Wind. Lastly, the final section covers the implementation of Wind and the techniques used under the hood to ramp up performance and scalability.

Analog Signal Processing

Author : Erhan Kudeki
Publisher :
ISBN 13 : 9780536103260
Total Pages : 0 pages
Book Rating : 4.1/5 (32 download)

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Book Synopsis Analog Signal Processing by : Erhan Kudeki

Download or read book Analog Signal Processing written by Erhan Kudeki and published by . This book was released on 2007 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Practical Weak Supervision

Author : Wee Hyong Tok
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1492077038
Total Pages : 193 pages
Book Rating : 4.4/5 (92 download)

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Book Synopsis Practical Weak Supervision by : Wee Hyong Tok

Download or read book Practical Weak Supervision written by Wee Hyong Tok and published by "O'Reilly Media, Inc.". This book was released on 2021-09-30 with total page 193 pages. Available in PDF, EPUB and Kindle. Book excerpt: Most data scientists and engineers today rely on quality labeled data to train machine learning models. But building a training set manually is time-consuming and expensive, leaving many companies with unfinished ML projects. There's a more practical approach. In this book, Wee Hyong Tok, Amit Bahree, and Senja Filipi show you how to create products using weakly supervised learning models. You'll learn how to build natural language processing and computer vision projects using weakly labeled datasets from Snorkel, a spin-off from the Stanford AI Lab. Because so many companies have pursued ML projects that never go beyond their labs, this book also provides a guide on how to ship the deep learning models you build. Get up to speed on the field of weak supervision, including ways to use it as part of the data science process Use Snorkel AI for weak supervision and data programming Get code examples for using Snorkel to label text and image datasets Use a weakly labeled dataset for text and image classification Learn practical considerations for using Snorkel with large datasets and using Spark clusters to scale labeling

Wilshire's

Author :
Publisher :
ISBN 13 :
Total Pages : 524 pages
Book Rating : 4.:/5 (318 download)

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Book Synopsis Wilshire's by :

Download or read book Wilshire's written by and published by . This book was released on 1970 with total page 524 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Everything about Hacking

Author : Shreyas Jadhav
Publisher :
ISBN 13 : 9781673014020
Total Pages : 81 pages
Book Rating : 4.0/5 (14 download)

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Book Synopsis Everything about Hacking by : Shreyas Jadhav

Download or read book Everything about Hacking written by Shreyas Jadhav and published by . This book was released on 2019-12-08 with total page 81 pages. Available in PDF, EPUB and Kindle. Book excerpt: Welcome, Everything about hacking book and we thank for buying this book for all of us they buy keep investing your self. Thank You.This book name is everything about hacking not only a name this book are matter in every thing about hacking contains all terms of hacking with practical application.This book contains Basic of Ethical Hacking to Advance of Ethical Hacking with Practical demo's and application.what you will learn various types of hacking tools Sniffing, password cracking, Facebook Hacking, Instagram hacking tool, web application pen testing, vulnerability scanner tools, application of both how to use kali linux what is history of linux and windows you will learn all hacking in book.Book containsIntroduction to Ethical Hacking *History of Ethical Hacking*Why Ethical Hacking*Ethical Hacking or Cyber Security*Types of Hackers*Ethical Hacker v/s Computer Scientist.Programming language for Ethical Hackers*Web Technology*App & Software Technology*Programming Language for Hackers.Operating System For Ethical Hacking.*Linux v/s Windows*Linux v/s Unix v/s Dos*Hacking OS (Operating System)*Learn Kali Linux and commands basic on LinuxTool for Ethical Hacking *Web Application Tool *Information gathering Tool*Sniffing Tool*Vulnerability Assessment Tools*Maltego*Password Cracking Tool*Metasploite*Android Hacking Tool*Social Engineering ToolkitWeb Application Hacking*What is Web Hacking*Security in Web ApplicationCryptography*What is Cryptography*Cryptography is use Ethical Hacking & Cyber SecurityGoogle Hacking*How to use Google Hacking*History of Google Hacking*Google Hacking Advance SearchSocial Media SecuritySocial EngineeringAndroid Hacking*Basic of Android*How to used android for Hacking*How to Spy or hack Android *Tools to use Android HackingVPN And TOR*What is VPN *What is TOR*Create your own VPN Server*Create your own TOR Website

Natural Language Processing with Transformers, Revised Edition

Author : Lewis Tunstall
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1098136764
Total Pages : 409 pages
Book Rating : 4.0/5 (981 download)

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Book Synopsis Natural Language Processing with Transformers, Revised Edition by : Lewis Tunstall

Download or read book Natural Language Processing with Transformers, Revised Edition written by Lewis Tunstall and published by "O'Reilly Media, Inc.". This book was released on 2022-05-26 with total page 409 pages. Available in PDF, EPUB and Kindle. Book excerpt: Since their introduction in 2017, transformers have quickly become the dominant architecture for achieving state-of-the-art results on a variety of natural language processing tasks. If you're a data scientist or coder, this practical book -now revised in full color- shows you how to train and scale these large models using Hugging Face Transformers, a Python-based deep learning library. Transformers have been used to write realistic news stories, improve Google Search queries, and even create chatbots that tell corny jokes. In this guide, authors Lewis Tunstall, Leandro von Werra, and Thomas Wolf, among the creators of Hugging Face Transformers, use a hands-on approach to teach you how transformers work and how to integrate them in your applications. You'll quickly learn a variety of tasks they can help you solve. Build, debug, and optimize transformer models for core NLP tasks, such as text classification, named entity recognition, and question answering Learn how transformers can be used for cross-lingual transfer learning Apply transformers in real-world scenarios where labeled data is scarce Make transformer models efficient for deployment using techniques such as distillation, pruning, and quantization Train transformers from scratch and learn how to scale to multiple GPUs and distributed environments

The Myth of Artificial Intelligence

Author : Erik J. Larson
Publisher : Harvard University Press
ISBN 13 : 0674983513
Total Pages : 321 pages
Book Rating : 4.6/5 (749 download)

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Book Synopsis The Myth of Artificial Intelligence by : Erik J. Larson

Download or read book The Myth of Artificial Intelligence written by Erik J. Larson and published by Harvard University Press. This book was released on 2021-04-06 with total page 321 pages. Available in PDF, EPUB and Kindle. Book excerpt: “Artificial intelligence has always inspired outlandish visions—that AI is going to destroy us, save us, or at the very least radically transform us. Erik Larson exposes the vast gap between the actual science underlying AI and the dramatic claims being made for it. This is a timely, important, and even essential book.” —John Horgan, author of The End of Science Many futurists insist that AI will soon achieve human levels of intelligence. From there, it will quickly eclipse the most gifted human mind. The Myth of Artificial Intelligence argues that such claims are just that: myths. We are not on the path to developing truly intelligent machines. We don’t even know where that path might be. Erik Larson charts a journey through the landscape of AI, from Alan Turing’s early work to today’s dominant models of machine learning. Since the beginning, AI researchers and enthusiasts have equated the reasoning approaches of AI with those of human intelligence. But this is a profound mistake. Even cutting-edge AI looks nothing like human intelligence. Modern AI is based on inductive reasoning: computers make statistical correlations to determine which answer is likely to be right, allowing software to, say, detect a particular face in an image. But human reasoning is entirely different. Humans do not correlate data sets; we make conjectures sensitive to context—the best guess, given our observations and what we already know about the world. We haven’t a clue how to program this kind of reasoning, known as abduction. Yet it is the heart of common sense. Larson argues that all this AI hype is bad science and bad for science. A culture of invention thrives on exploring unknowns, not overselling existing methods. Inductive AI will continue to improve at narrow tasks, but if we are to make real progress, we must abandon futuristic talk and learn to better appreciate the only true intelligence we know—our own.

Machine Learning Projects for Mobile Applications

Author : Karthikeyan NG
Publisher : Packt Publishing Ltd
ISBN 13 : 1788998464
Total Pages : 246 pages
Book Rating : 4.7/5 (889 download)

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Book Synopsis Machine Learning Projects for Mobile Applications by : Karthikeyan NG

Download or read book Machine Learning Projects for Mobile Applications written by Karthikeyan NG and published by Packt Publishing Ltd. This book was released on 2018-10-31 with total page 246 pages. Available in PDF, EPUB and Kindle. Book excerpt: Bring magic to your mobile apps using TensorFlow Lite and Core ML Key FeaturesExplore machine learning using classification, analytics, and detection tasks.Work with image, text and video datasets to delve into real-world tasksBuild apps for Android and iOS using Caffe, Core ML and Tensorflow LiteBook Description Machine learning is a technique that focuses on developing computer programs that can be modified when exposed to new data. We can make use of it for our mobile applications and this book will show you how to do so. The book starts with the basics of machine learning concepts for mobile applications and how to get well equipped for further tasks. You will start by developing an app to classify age and gender using Core ML and Tensorflow Lite. You will explore neural style transfer and get familiar with how deep CNNs work. We will also take a closer look at Google’s ML Kit for the Firebase SDK for mobile applications. You will learn how to detect handwritten text on mobile. You will also learn how to create your own Snapchat filter by making use of facial attributes and OpenCV. You will learn how to train your own food classification model on your mobile; all of this will be done with the help of deep learning techniques. Lastly, you will build an image classifier on your mobile, compare its performance, and analyze the results on both mobile and cloud using TensorFlow Lite with an RCNN. By the end of this book, you will not only have mastered the concepts of machine learning but also learned how to resolve problems faced while building powerful apps on mobiles using TensorFlow Lite, Caffe2, and Core ML. What you will learnDemystify the machine learning landscape on mobileAge and gender detection using TensorFlow Lite and Core MLUse ML Kit for Firebase for in-text detection, face detection, and barcode scanningCreate a digit classifier using adversarial learningBuild a cross-platform application with face filters using OpenCVClassify food using deep CNNs and TensorFlow Lite on iOS Who this book is for Machine Learning Projects for Mobile Applications is for you if you are a data scientist, machine learning expert, deep learning, or AI enthusiast who fancies mastering machine learning and deep learning implementation with practical examples using TensorFlow Lite and CoreML. Basic knowledge of Python programming language would be an added advantage.