LLMs in Finance - Generative AI - AI Agents

The LLM's practical guide: From the fundamentals to deploying advanced LLM and RAG apps to AWS using LLMOps best practices

Recipes for learning, fine-tuning, and adapting ColPali to your multimodal RAG use cases. 👨🏻‍🍳

Educational framework exploring ergonomic, lightweight multi-agent orchestration. Managed by OpenAI Solution team.

This repository provides tutorials and implementations for various Generative AI Agent techniques, from basic to advanced. It serves as a comprehensive guide for building intelligent, interactive A…

A collection of notebooks/recipes showcasing some fun and effective ways of using Claude.

Here you can find all the Tutorials for Haystack 📓

[ICML2024] Unified Training of Universal Time Series Forecasting Transformers

See here https://github.com/dodeeric/ragai-agent the agentic (agent) version of this assistant.

Retrieval Augmented Generation (RAG) framework and context engine powered by Pinecone

Developer samples for the KDB.AI vector database

To speed up LLMs' inference and enhance LLM's perceive of key information, compress the prompt and KV-Cache, which achieves up to 20x compression with minimal performance loss.

🐙 Guides, papers, lecture, notebooks and resources for prompt engineering

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

LLM-PowerHouse: Unleash LLMs' potential through curated tutorials, best practices, and ready-to-use code for custom training and inferencing.

Metrics to evaluate the quality of responses of your Retrieval Augmented Generation (RAG) applications.

Classify data instantly using an LLM

Learn how to design, develop, deploy and iterate on production-grade ML applications.

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

Hackable implementation of state-of-the-art open-source LLMs based on nanoGPT. Supports flash attention, 4-bit and 8-bit quantization, LoRA and LLaMA-Adapter fine-tuning, pre-training. Apache 2.0-l…

Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2022/Spring 2022

Seamlessly integrate LLMs into scikit-learn.

A microframework for creating simple AI agents.

anonLLM: Anonymize Personally Identifiable Information (PII) for Large Language Model APIs

A lightweight AutoML library.