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💡 All-in-one open-source embeddings database for semantic search, LLM orchestration and language model workflows
Efficient few-shot learning with Sentence Transformers
official code for "Large Language Models as Optimizers"
DSPy: The framework for programming—not prompting—foundation models
Hebrew whisper powerful transcription and translation tool
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
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.
Implementation of paper: HLATR: Enhance Multi-stage Text Retrieval with Hybrid List Aware Transformer Reranking
portion, a Python library providing data structure and operations for intervals.
Integrate cutting-edge LLM technology quickly and easily into your apps
AI Native Data App Development framework with AWEL(Agentic Workflow Expression Language) and Agents
Dataframes powered by a multithreaded, vectorized query engine, written in Rust
A guidance language for controlling large language models.
Dify is an open-source LLM app development platform. Dify's intuitive interface combines AI workflow, RAG pipeline, agent capabilities, model management, observability features and more, letting yo…
Chat with your database (SQL, CSV, pandas, polars, mongodb, noSQL, etc). PandasAI makes data analysis conversational using LLMs (GPT 3.5 / 4, Anthropic, VertexAI) and RAG.
A curated list of practical guide resources of LLMs (LLMs Tree, Examples, Papers)
Turn your rough sketch into a refined image using AI
highlight.io: The open source, full-stack monitoring platform. Error monitoring, session replay, logging, distributed tracing, and more.
🐙 Guides, papers, lecture, notebooks and resources for prompt engineering
PyGWalker: Turn your pandas dataframe into an interactive UI for visual analysis
Official Implementation of OCR-free Document Understanding Transformer (Donut) and Synthetic Document Generator (SynthDoG), ECCV 2022