Building an AI Agent With Memory Using MongoDB, Fireworks AI, and LangChain | MongoDB
Creating your own AI agent equipped with a sophisticated memory system. This guide provides a detailed walkthrough on leveraging the capabilities of Fireworks AI, MongoDB, and LangChain to construct an AI agent that not only responds intelligently but also remembers past interactions.
I'm sure you agree that it has become impossible to ignore Generative AI (GenAI), as we are constantly bombarded with mainstream news about Large Language Models (LLMs). Very likely you have tried…
How We Saved 10s of Thousands of Dollars Deploying Low Cost Open Source AI Technologies At Scale with Kubernetes
Scaling up generative AI operations can be costly. At OpenSauced, we faced this challenge while building StarSearch, until we found a low cost solution to deploy an OpenAI-compatible API using open source technology.
Step by step guide to learn Prompt Engineering. We also have resources and short descriptions attached to the roadmap items so you can get everything you want to learn in one place.
But what is a GPT? Visual intro to transformers | Chapter 5, Deep Learning
Unpacking how large language models work under the hoodEarly view of the next chapter for patrons: https://3b1b.co/early-attentionSpecial thanks to these sup...
Build an LLM RAG Chatbot With LangChain – Real Python
Large language models (LLMs) have taken the world by storm, demonstrating unprecedented capabilities in natural language tasks. In this step-by-step tutorial, you'll leverage LLMs to build your own retrieval-augmented generation (RAG) chatbot using synthetic data with LangChain and Neo4j.