Too Long; Didn't ReadThis is the second part in a multi-part series on building Agents with OpenAI's Assistant API using the Python SDK.This is the second part in a multi-part series on building Agents with Ope
This is the first part in a multi-part series on building Agents with OpenAI's Assistant API using the Python SDK. What Are Agents? The way I like to look at it, an agent is really just a piece of software leveraging an LLM (Large Language Model) and trying to mimic human behavior....
Learn to build AI applications using the OpenAI API. Start Upskilling For Free If you're captivated by the transformative powers of Generative AI and LLMs, this tutorial is perfect for you. Here, we explore LangChain - An open-source Python framework for building applications based on Large ...
LangChain agents are essentially autonomous entities that leverage LLMs to interact with users, perform tasks, and make decisions based on natural language inputs. Action-driven agentsuse language models to decide on optimal actions for predefined tasks. On the other sideinteractive agentsor interac...
These agents integrate Large Language Models (LLMs) with specific tools and memory, enabling them to perform a variety of tasks to enhance their functionality and assist users in more sophisticated ways. AI agents are gaining recognition in the AI trends matrix, with their potential for adoption ...
Language models are incapable of executing actions; they are configured to only output text. That's where the concept of agents come in. At the core, agents are systems that take a high-level task, use an LLM as a reasoning engine, and decide on the sequence of actions to take. ...
If you're short on time and want to know how to learn AI from scratch, check out our quick summary. Remember, learning AI takes time, but with the right plan, you can progress efficiently: Months 1-3: Build foundational skills in Python, math (linear algebra, probability, and statistics...
Discussions Actions Projects7 Security Insights Additional navigation options New issue Closed Description quanshr quanshr added usageHow to use vllm on Jul 18, 2024 quanshr changed the title[Usage]: How to release one vLLM model in python code[Usage]: How to release GPU of vLLM model in ...
To build a chatbot with fast and accurate responses, your vendor should connect it to a structured knowledge base to build an LLM. It can be support articles, product info, or internal documentation. The chatbot will get answers from this source and deliver fast, consistent replies. It ...
ragas: Python library for the RAGAS framework langchain: Python library to develop LLM applications using LangChain langchain-mongodb: Python package to use MongoDB Atlas as a vector store with LangChain langchain-openai: Python package to use OpenAI models in LangChain pymongo: Python driver fo...