OpenLLM
haystack
OpenLLM | haystack | |
---|---|---|
25 | 55 | |
8,963 | 13,883 | |
5.2% | 4.3% | |
9.9 | 9.9 | |
1 day ago | 6 days ago | |
Python | Python | |
Apache License 2.0 | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
OpenLLM
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First 15 Open Source Advent projects
13. OpenLLM by BentoML | Github | tutorial
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The Lost Arts of CLJS Frontend
for those who care: i am developing a cljs frontend for OpenLLM right now: https://github.com/bentoml/OpenLLM/pull/89
- Build Personal ChatGPT Using Your Data
- OpenLLM: An open platform for operating large language models (LLMs) in production.
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GPT Weekly - 26the June Edition - 🎙️ Meta's Voicebox is Paused, 🖼️SDXL 0.9, 📜AI Compliance & EU Act and more
Run inference on any LLM using OpenLLM.
- OpenLLM: OSS to easily serve Open Source LLMs
haystack
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Haystack DB – 10x faster than FAISS with binary embeddings by default
I was confused for a bit but there is no relation to https://haystack.deepset.ai/
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Release Radar • March 2024 Edition
View on GitHub
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First 15 Open Source Advent projects
4. Haystack by Deepset | Github | tutorial
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Generative AI Frameworks and Tools Every Developer Should Know!
Haystack can be classified as an end-to-end framework for building applications powered by various NLP technologies, including but not limited to generative AI. While it doesn't directly focus on building generative models from scratch, it provides a robust platform for:
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Best way to programmatically extract data from a set of .pdf files?
But if you want an API that you can use to develop your own flow, Haystack from Deepset could be worth a look.
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Which LLM framework(s) do you use in production and why?
Haystack for production. We cannot afford breaking changes in our production apps. Its stable, documentation is excellent and did I mention its' STABLE!??
- Overview: AI Assembly Architectures
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Llama2 and Haystack on Colab
I recently conducted some experiments with Llama2 and Haystack (https://github.com/deepset-ai/haystack), the NLP/LLM framework.
The notebook can be helpful for those trying to load Llama2 on Colab.
1) Installed Transformers from the main branch (and other libraries)
- Build with LLMs for production with Haystack – has 10k stars on GitHub
- Show HN: Haystack – Production-Ready LLM Framework
What are some alternatives?
FastChat - An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.
langchain - 🦜🔗 Build context-aware reasoning applications
gpt4all - gpt4all: run open-source LLMs anywhere
langchain - ⚡ Building applications with LLMs through composability ⚡ [Moved to: https://github.com/langchain-ai/langchain]
text-generation-webui - A Gradio web UI for Large Language Models. Supports transformers, GPTQ, AWQ, EXL2, llama.cpp (GGUF), Llama models.
gpt-neo - An implementation of model parallel GPT-2 and GPT-3-style models using the mesh-tensorflow library.
alpaca-lora - Instruct-tune LLaMA on consumer hardware
BentoML - The most flexible way to serve AI/ML models in production - Build Model Inference Service, LLM APIs, Inference Graph/Pipelines, Compound AI systems, Multi-Modal, RAG as a Service, and more!
easydiffusion - Easiest 1-click way to create beautiful artwork on your PC using AI, with no tech knowledge. Provides a browser UI for generating images from text prompts and images. Just enter your text prompt, and see the generated image.
label-studio - Label Studio is a multi-type data labeling and annotation tool with standardized output format
unilm - Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities
jina - ☁️ Build multimodal AI applications with cloud-native stack