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LangChain

CEO Jensen Huang’s Predictions About the Future of Prompt Engineering

With NVIDIA’s announcement of AI Enterprise 5.0 and NVIDIA Inference Microservices at the GTC conference, CEO Jensen Huang plans to begin an era of making enterprise AI deployment easier and more widely applicable than ever before – possibly while changing the main way people interact with computers. The idea of controlling and programming computers with prompts alone is similar to what Humane has proposed with its prompt-based Ai Pin, but Huang extends it to developers and IT as well as consumers: “The job of…

AI Revolution Journey With Qwen, RAG, and LangChain

In the era of Artificial Intelligence (AI), extracting meaningful knowledge from vast datasets has become critical for both businesses and individuals. Enter Retrieval-Augmented Generation (RAG), is a breakthrough that has turbocharged the capabilities of AI, empowering systems to not only generate human-like text but also pull in the relevant information in real time. This fusion produces responses that are both rich in context and precise in detail. As we set sail on the exciting voyage through the vast ocean of…

Building a Math Application with LangChain Agents

A tutorial on why LLMs struggle with math, and how to resolve these limitations using LangChain Agents, OpenAI and ChainlitIn this tutorial, I will demonstrate how to use LangChain agents to create a custom Math application utilising OpenAI’s GPT3.5 model. For the application frontend, I will be using Chainlit, an easy-to-use open-source Python framework. This generative math application, let’s call it “Math Wiz”, is designed to help users with their math or reasoning/logic questions.App Schema for “Math Wiz”.…

LangChain, Python, and Heroku – DZone

Since the launch and wide adoption of ChatGPT near the end of 2022, we’ve seen a storm of news about tools, products, and innovations stemming from large language models (LLMs) and generative AI (GenAI). While many tech fads come and go within a few years, it’s clear that LLMs and GenAI are here to stay. Do you ever wonder about all the tooling going on in the background behind many of these new tools and products? In addition, you might even ask yourself how these tools—leveraged by both developer and end users—are run…

Generate Music Recommendations Utilizing LangChain Agents

Powered by Bedrock Claude and the Spotify APIContinue reading on Towards Data Science » Powered by Bedrock Claude and the Spotify APIContinue reading on Towards Data Science » FOLLOW US ON GOOGLE NEWS Read original article here Denial of responsibility! Techno Blender is an automatic aggregator of the all world’s media. In each content, the hyperlink to the primary source is specified. All trademarks belong to their rightful owners, all materials to their authors. If you are the owner of the content and do…

Integrating an External API with a Chatbot Application using LangChain and Chainlit

A practical guide to integrating external APIs for advanced interactions with a chatbot application using LangChain and ChainlitIn this tutorial, we will see how we can integrate an external API with a custom chatbot application. In my previous articles on building a custom chatbot application, we’ve covered the basics of creating a chatbot with specific functionalities using LangChain and OpenAI, and how to build the web application for our chatbot using Chainlit.Workflow of an API-Integrated Chatbot — Image by authorIf…

Using LangChain ReAct Agents for Answering Multi-hop Questions in RAG Systems

Useful when answering complex queries on internal documents in a step-by-step manner with ReAct and Open AI Tools agents.Continue reading on Towards Data Science » Useful when answering complex queries on internal documents in a step-by-step manner with ReAct and Open AI Tools agents.Continue reading on Towards Data Science » FOLLOW US ON GOOGLE NEWS Read original article here Denial of responsibility! Techno Blender is an automatic aggregator of the all world’s media. In each content, the hyperlink to the…

Performing Customer Analytics with LangChain and LLMs

Explore the potentials and constraints of LangChain for customer analytics, accompanied by practical implementation codesContinue reading on Towards Data Science » Explore the potentials and constraints of LangChain for customer analytics, accompanied by practical implementation codesContinue reading on Towards Data Science » FOLLOW US ON GOOGLE NEWS Read original article here Denial of responsibility! Techno Blender is an automatic aggregator of the all world’s media. In each content, the hyperlink to the…

Building a Chat App with LangChain, LLMs, and Streamlit for Complex SQL Database Interaction

Building a Chat Application with LangChain, LLMs, and Streamlit for Complex SQL Database InteractionBuild and deploy a chat application for complex database interaction with LangChain agents.Image generated by DALL-E.In this article we will see how we can use large language models (LLMs) to interact with a complex database using Langchain agents and tools, and then deploying the chat application using Streamlit.This article is the second and final part of a two-phase project that exploits RappelConso API data, a French…

How LangChain Enhances the Performance of LLMs

What do you think of the Artificial Intelligence Development market? Well, as per a Markets and Markets report with a CAGR of nearly 36.8% for 2023-30, things are continuously changing and growing. This has paved the path for Large Language Models (LLMs) to do things they couldn’t before. There's a new technique called "LangChain" that has the potential to completely change how we use LLMs in generative AI development. In this dive, we will go deep into LangChain. Covering everything from its key principles to how it…