Towards AI

FEBRUARY 27, 2024

Let’s get started to get started, you do need to download a couple of different Python libraries, namely langchain_community, langchain-openai, langchain_core, LangGraph, and streamlit if you haven’t already done so… Read the full blog for free on Medium. Join thousands of data leaders on the AI newsletter.

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Heartbeat

NOVEMBER 15, 2023

Thus, as we continue our journey, we set our sights on advanced memory types within LangChain, from Entity Memory to Knowledge Graphs. LangChain’s Entity Memory allows models to retain and build upon the context of entities within a conversation. Knowledge Graph Memory: Moving a notch higher, LangChain introduces ConversationKGMemory.

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Towards AI

JANUARY 14, 2024

1F44FFollow me on Medium and subscribe to get my latest articleU+1FAF6If you prefer video tutorials, please subscribe to my YouTube channel where I started to convert most of my articles to visual demonstrations.

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Towards AI

FEBRUARY 3, 2024

My journey with AI Makerspace’s LLMOps cohort (learn more here) has been instrumental in shaping my approach to these topics. Refer to this blog post for a helpful primer on building a RAG system using LangChain. pip install -U langchain==0.1!pip LangChain Docs This text splitter takes a list of characters.

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Data Science Dojo

OCTOBER 7, 2023

You’ll learn to set up LangSmith, connect it with LangChain, and master the process of precise tracing and evaluation, equipping you with the tools to optimize your Large Language Model applications and bring them to production. What is LangSmith and LangChain? Next, let’s talk a stroll through “Langchain.”

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Hacker News

NOVEMBER 15, 2023

However, it does not serve users who want a deeper dive into a current or more specific topic. That’s when researchers in information retrieval prototyped what they called question-answering systems, apps that use natural language processing ( NLP ) to access text, initially in narrow topics such as baseball.

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Towards AI

SEPTEMBER 26, 2023

This is part 2ab of the LangChain 101 course. It is strongly recommended to check the first part to understand the context of this article better (follow the author in order not to miss the next part) : LangChain 101: Part 1. You can combine it with other LangChain components to create more complex systems.

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ODSC - Open Data Science

FEBRUARY 6, 2024

In this workshop, you will learn how to employ the ReAct technique to allow an LLM to determine where to find information to service different types of user queries, using LangChain to orchestrate the process. By the end of the tutorial, you’ll have a basic familiarity with how to use the latest tools for LLM development.

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ODSC - Open Data Science

FEBRUARY 22, 2024

The Limits of Retrieval Augmentation, 8 AI Research Labs Worth Exploring, and Supercharging LLMs with LangChain Is RAG All You Need? In this interview, we’ll discuss what low-code and no-code AI is, how these topics can make AI more inclusive, and some examples of how to make it work in the real world.

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Data Science Dojo

AUGUST 18, 2023

ChatGPT is also capable of answering questions, providing summaries of factual topics, and generating different creative text formats. LangChain LangChain is a text-to-image diffusion model that can be used to generate images from text descriptions. This allows it to hold conversations that are both natural and engaging.

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Towards AI

JANUARY 11, 2024

The AI Tutor can help with your questions as you learn about topics such as building LLM apps (including training and fine-tuning LLMs), working with Langchain, LlamaIndex, agents, and the Deep Lake vector database, and lots of insights on advanced RAG techniques!

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AWS Machine Learning Blog

JUNE 8, 2023

This approach creates a more human-like conversation experience and accommodates several topics. We also use LangChain, a popular framework that simplifies LLM-powered applications. The AWS Lambda function uses the requests from the Amazon Lex bot or the QnABot to prepare the payload to invoke the SageMaker endpoint using LangChain.

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Heartbeat

DECEMBER 22, 2023

Both ways: off-the-shelf and using LCEL Photo by Etienne Boulanger on Unsplash Conversational Agents Conversational agents in LangChain facilitate interactive and dynamic conversations with users. LangChain wants us to start moving to LCEL, so let me show you how to create an agent. ? n``` Awesome!

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Towards AI

OCTOBER 5, 2023

To better understand this article, check out the previous part, where I discuss large language models: LangChain 101: Part 2ab. All You Need to Know About (Large Language) Models This is part 2ab of the LangChain 101 course. And other questions regarding the topic… Think of the following situation: you’re up to go to a dentist.

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Towards AI

JUNE 20, 2023

The inaugural course of the three-part series focuses on LangChain and Deep Lake, a vector database for all AI data in production. We’re excited to announce our collaboration with Activeloop and the Intel Disruptor Initiative in creating Gen AI 360: The Foundational Model Certification. Enroll today for free at learn.activeloop.ai.

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Towards AI

FEBRUARY 15, 2024

Minimap can synthesize a map of the dataspace through the lens of high-level topics. Meme shared by rucha8062 TAI Curated section Article of the week LangChain 101: Part 3a. It is a content cartography platform. They are building a minimap of our world’s information space for users. Share your feedback in the thread! Meme of the week!

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Mlearning.ai

JUNE 17, 2023

Vector databases are a vast and complex topic, and discussing them in detail is beyond the scope of this article. An innovative solution to these challenges: LangChain. Simplifying Data Extraction with LangChain Agents Retrieving data from a database is seldom a straightforward endeavor.

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AWS Machine Learning Blog

SEPTEMBER 19, 2023

Sentiment Analysis Tool – To identify and score sentiments on a topic using Amazon Comprehend. To generate responses from structured and unstructured data using LLMs and LangChain, you need access to LLMs through either Amazon Bedrock, SageMaker JumpStart, or API keys, and to use databases that are compatible with SQLAlchemy.

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Towards AI

OCTOBER 25, 2023

In the next post, we will cover the fundamentals of text summarization using Langchain and detailed instructions for implementing a summarization pipeline based on Falcon-7b-instruct, an open-source instruction-tuned LLM. In the final post, we will see how to demonstrate a solution prototype using Gradio and Hugging Face Spaces.

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ODSC - Open Data Science

SEPTEMBER 20, 2023

Being specific guides the AI toward producing the desired output and minimizes the risk of irrelevant or off-topic responses. For example, if you’re discussing a medical topic, you might begin with, “Considering recent advances in medical research, explain the potential benefits of gene therapy for inherited diseases.”

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ODSC - Open Data Science

NOVEMBER 20, 2023

Prompt Optimization with GPT-4 and Langchain Mike Taylor | Owner | Saxifrage In this session, Mike Taylor discusses how you can use prompt engineering at scale — as part of a template, workflow, or product. Finally, we will cover some examples of LLM-powered applications in Python using popular AI orchestrators, such as LangChain.

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Towards AI

OCTOBER 17, 2023

It covers prompt engineering, major frameworks like LlamaIndex, LangChain, and Semantic Kernel, vector DBs, fine-tuning, open and closed source models, common app design patterns, LLM logic and reasoning, and more. A Case for GPT-4’s Capacity To Reason The ability to reason and solve problems remains a topic of interest in LLMs like GPT.

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Mlearning.ai

MAY 3, 2023

Code Example Here's is an example of similarity search build using Langchain and Elasticsearch. Langchain is another powerful library to utilise Large Language Models or LLMs for different applications but more about it in a different article. The data used in this article is present here. Then you’ll love my blog on Medium!

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ODSC - Open Data Science

JUNE 5, 2023

From NLP, ML, and generative AI, to even artificial general intelligence, the topics were diverse and awe-inspiring. That’s why this session was so popular as the speaker dived right into the topic and walked through solutions and methods of avoiding this bias in their data.

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ODSC - Open Data Science

DECEMBER 7, 2023

Solution Showcase talks and Keynote Talks are available for free , while deep dives into topics with training sessions and workshops are available for purchase. ODSC West is done and we’ll have to wait another year to gather together live in San Francisco. In the meantime, recordings of our virtual sessions are now available on demand!

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Heartbeat

NOVEMBER 22, 2023

Mastering Pairwise Assessments for Optimized Language Model Outputs Photo by Dietmar Becker on Unsplash Introduction In LangChain, comparison evaluators are designed to measure and compare outputs from two different chains or LLMs. Developers can define their evaluation criteria or use predefined ones from LangChain.

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ODSC - Open Data Science

OCTOBER 26, 2023

With the rapid advance of AI across industries, responsible AI has become a hot topic for decision-makers and data scientists alike. Now if you’re interested in this topic, Sarah Bird, PhD, Global Lead for Responsible AI Engineering at Microsoft will be speaking at ODSC West in a few short weeks.

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ODSC - Open Data Science

OCTOBER 20, 2023

You’ll use MLRun, Langchain, and Milvus for this exercise and cover topics like the integration of AI/ML applications, leveraging Python SDKs, as well as building, testing, and tuning your work. Want to take a deeper dive into topics like LLMs, Generative AI, Machine Learning, NLP, and more? Check them out for free!

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ODSC - Open Data Science

FEBRUARY 8, 2024

In this session, you’ll cover some of the essential topics in LLM development, including prompt engineering and fine-tuning, document embeddings, Retrieval-Augmented Generation (RAG), and LangChain and Transformers libraries. After this training, you will have the foundations to apply scikit-learn to your machine learning problems.

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AWS Machine Learning Blog

MAY 25, 2023

We use a combination of different AWS services, open-source foundation models ( FLAN-T5 XXL for text generation and GPT-j-6B for embeddings) and packages such as LangChain for interfacing with all the components and Streamlit for building the bot frontend. AWS Identity and Access Management roles and policies for access management.

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AWS Machine Learning Blog

NOVEMBER 7, 2023

Large language models (LLMs) with their broad knowledge, can generate human-like text on almost any topic. This synergy enables more accurate topic modeling, content recommendation, and semantic search capabilities. However, their training on massive datasets also limits their usefulness for specialized tasks.

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Towards AI

JANUARY 9, 2024

The AI Tutor can help with your questions as you learn about topics such as building LLM apps with Langchain and the Deep Lake vector database, training and fine-tuning LLMs, and advanced RAG techniques! We use RAG to improve answer accuracy, reduce hallucinations, and cite its sources (also great recommendations for further reading!).

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Towards AI

OCTOBER 10, 2023

The course builds upon the success of our previous installment, the LangChain and Vector Databases in Production course, with tens of thousands of course takers. This initiative was made possible thanks to the robust collaboration with Activeloop and the Intel Disruptor Initiative and is greatly supported by Lambda and Cohere.

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Towards AI

NOVEMBER 14, 2023

In terms of developer tools, market dominance is currently held by Huggingface, LangChain, and LlamaIndex. The program’s primary focus is to gather extensive data not readily available on the internet, particularly emphasizing data reflecting human intention in multiple languages, topics, and formats. Why should you care?

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Data Science Dojo

SEPTEMBER 20, 2023

Falcon AI with LangChain LangChain is a Python library designed to facilitate the creation of applications utilizing Large Language Models (LLMs). This means that integrating Falcon with LangChain is not only feasible but also practical. This means that integrating Falcon with LangChain is not only feasible but also practical.

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ODSC - Open Data Science

FEBRUARY 15, 2024

The conversations included in the Anthropic HH Golden dataset are diverse, covering a broad range of topics and styles. The dataset covers a wide range of document types and topics, providing a broad spectrum of scenarios for logical data extraction and interpretation.

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ODSC - Open Data Science

JANUARY 29, 2024

Many tools and topics we know are popular have yet to make it here. LangChain and Agents LangChain is popular with prompt engineers due to its being one of the first open-source libraries for building smart LLM agents by chaining custom prompts and allowing complex task execution with custom and personalized responses.

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