March 2023

This page summarizes the projects mentioned and recommended in the original post on /r/dailyainews

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  • awesome-totally-open-chatgpt

    A list of totally open alternatives to ChatGPT

  • Open source alternative to ChatGPT (https://github.com/nichtdax/awesome-totally-open-chatgpt)

  • dolly

    Databricks’ Dolly, a large language model trained on the Databricks Machine Learning Platform

  • Dolly from databricks (https://www.databricks.com/blog/2023/03/24/hello-dolly-democratizing-magic-chatgpt-open-models.html)

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

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  • fauxpilot

    FauxPilot - an open-source alternative to GitHub Copilot server

  • FauxPilot - an open-source GitHub Copilot server(https://github.com/fauxpilot/fauxpilot)

  • moonshine-remote-sensing

    Pretrained remote sensing models for the rest of us.

  • Moonshine – open-source, pretrained ML models for satellite (https://github.com/moonshinelabs-ai/moonshine)

  • flower

    Flower: A Friendly Federated Learning Framework (by adap)

  • Flower , an open-source framework for training AI on distributed data. We move the model to the data instead of moving the data to the model. (https://flower.dev/)

  • ml-ane-transformers

    Reference implementation of the Transformer architecture optimized for Apple Neural Engine (ANE)

  • Apple: Transformer architecture optimized for Apple Silicon (https://github.com/apple/ml-ane-transformers)

  • helicone

  • Helicone: one-line integration logs the prompts, completions, latencies, and costs of your OpenAI requests (https://github.com/Helicone/helicone)

  • WorkOS

    The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

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  • RWKV-LM

    RWKV is an RNN with transformer-level LLM performance. It can be directly trained like a GPT (parallelizable). So it's combining the best of RNN and transformer - great performance, fast inference, saves VRAM, fast training, "infinite" ctx_len, and free sentence embedding.

  • RWKV is an RNN with Transformer-level LLM performance, which can also be directly trained like a GPT transformer (parallelizable). (https://github.com/BlinkDL/RWKV-LM)

  • chatgpt-retrieval-plugin

    The ChatGPT Retrieval Plugin lets you easily find personal or work documents by asking questions in natural language.

  • aquarium

    AI-controlled Linux Containers

  • lit-llama

    Implementation of the LLaMA language model based on nanoGPT. Supports flash attention, Int8 and GPTQ 4bit quantization, LoRA and LLaMA-Adapter fine-tuning, pre-training. Apache 2.0-licensed.

  • Independent implementation of LLaMA that is fully open source under the Apache 2.0 license (https://github.com/Lightning-AI/lit-llama)

  • gpt4all

    gpt4all: run open-source LLMs anywhere

  • gpt4all: a chatbot trained on a massive collection of clean assistant data including code, stories and dialogue (https://github.com/nomic-ai/gpt4all)

  • sidekick

    Discontinued Universal APIs for unstructured data. Sync documents from SaaS tools to a SQL or vector database, where they can be easily queried by AI applications [Moved to: https://github.com/psychic-api/psychic] (by ai-sidekick)

  • Open source ETL framework for retrieval augmented generation (RAG). Sync data from your SaaS tools to a vector store, where they can be easily queried by GPT apps (https://github.com/ai-sidekick/sidekick)

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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