awesome-generative-ai
hallucination-leaderboard
awesome-generative-ai | hallucination-leaderboard | |
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6 | 14 | |
4,863 | 1,042 | |
- | 5.3% | |
8.7 | 8.8 | |
8 days ago | about 20 hours ago | |
Creative Commons Zero v1.0 Universal | Apache License 2.0 |
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awesome-generative-ai
- Generative AI – A curated list of Generative AI projects and services
- Using AI to solve individual problems and societal challenges in Pakistan
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It would be even more interesting if we had numbers of users for each
If you want links you can check out this list I made: https://github.com/steven2358/awesome-generative-ai
- Which image would serve best as a cover to represent all of LLM-based generative AI?Here are some I generated -- other suggestions are welcome. (Must be panoramic though.)
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Over the past several months I've put together a spreadsheet of 470 categorized SD resources and apps. Put it up online in case it helps someone (should be the biggest public list so far)
Great list! I've added it to my list on Generative AI under the section "Lists". https://github.com/steven2358/awesome-generative-ai
hallucination-leaderboard
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How to Detect AI Hallucinations
To checkout the Hallucination leaderboard click here
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Launch HN: Danswer (YC W24) – Open-source AI search and chat over private data
Nice to see yet another open source approach to LLM/RAG. For those who do not want to meddle with the complexity of do-it-youself, Vectara (https://vectara.com) provides a RAG-as-a-service approach - pretty helpful if you want to stay away from having to worry about all the details, scalability, security, etc - and just focus on building your RAG application.
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Went down the rabbit hole of 100% local RAG, it works but are there better options?
Check this leaderboard, it is specific for RAG use case: https://github.com/vectara/hallucination-leaderboard
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Which LLM framework(s) do you use in production and why?
You should also check us out (https://vectara.com) - we provide RAG as a service so you don't have to do all the heavy lifting and putting together the pieces yourself.
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Ask HN: Best Alternatives to OpenAI ChatGPT?
Llama 2 (and variants). Has the lowest hallucination rate (https://github.com/vectara/hallucination-leaderboard), and its open source and so we know what went into it, and the community can improve it
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Inflection-2: the next step up
This is just typical of so much work in the field. They pick and choose which models to compare against and on which benchmarks. If this model was truly great, they would be comparing against Claude 2 and GPT4 across a bunch of different benchmarks. Instead they compare against Palm 2, which in a lot of tests is a weak model (https://venturebeat.com/ai/google-bard-fails-to-deliver-on-i....) and prone to hallucination (https://github.com/vectara/hallucination-leaderboard).
- LLMs by Hallucination Rate
What are some alternatives?
KoboldAI-Client
Woodpecker - ✨✨Woodpecker: Hallucination Correction for Multimodal Large Language Models. The first work to correct hallucinations in MLLMs.
stable-diffusion-webui-tokenizer - An extension for stable-diffusion-webui that adds a tab that lets you preview how CLIP model would tokenize your text.
SuperAGI - <⚡️> SuperAGI - A dev-first open source autonomous AI agent framework. Enabling developers to build, manage & run useful autonomous agents quickly and reliably.
awesome-ai-tools - A curated list of AI-powered tools
nohide - editors that don't really delete
generative-ai-dashboard
h2ogpt - Private chat with local GPT with document, images, video, etc. 100% private, Apache 2.0. Supports oLLaMa, Mixtral, llama.cpp, and more. Demo: https://gpt.h2o.ai/ https://codellama.h2o.ai/
awesome-ai - A curated list of artificial intelligence resources (Courses, Tools, App, Open Source Project)
autogen - A programming framework for agentic AI. Discord: https://aka.ms/autogen-dc. Roadmap: https://aka.ms/autogen-roadmap
whisper - Robust Speech Recognition via Large-Scale Weak Supervision
YiVal - Your Automatic Prompt Engineering Assistant for GenAI Applications