hallucination-leaderboard
amazon-bedrock-with-builder-and-command-patterns
hallucination-leaderboard | amazon-bedrock-with-builder-and-command-patterns | |
---|---|---|
14 | 16 | |
1,062 | 11 | |
7.1% | - | |
8.8 | 6.1 | |
9 days ago | about 2 months ago | |
Java | ||
Apache License 2.0 | MIT No Attribution |
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.
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
amazon-bedrock-with-builder-and-command-patterns
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How to Build Your Own ChatGPT Clone Using React & AWS Bedrock
The second service is what’s going to make our application come alive and give it the AI functionality we need and that service is AWS Bedrock which is their new generative AI service launched in 2023. AWS Bedrock offers multiple models that you can choose from depending on the task you’d like to carry out but for us, we’re going to be making use of Meta’s Llama V2 model, more specifically meta.llama2-70b-chat-v1.
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Breaking News: AWS Bedrock Lands in Sydney
Amazon Bedrock
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Implementing semantic image search with Amazon Titan and Supabase Vector
Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, Stability AI, and Amazon. Each model is accessible through a common API which implements a broad set of features to help build generative AI applications with security, privacy, and responsible AI in mind.
- Amazon Bedrock
- Build an AI image catalogue! - Claude 3 Haiku
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Comprehending JIRA Tickets with Amazon Bedrock
For those keeping track, Amazon Bedrock became generally available in September of 2023. My team had access to a preview, so when the AWS Comprehend entity analysis did not lend itself well to my use case; and I didn't feel like training a model, I started to get familiar with Bedrock. The following post is a follow-on to the Community article above and fleshes out a few details that will help those newer to Amazon Bedrock navigate the product.
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Build a React genAI APP with Amazon Bedrock & AWS SDK
In this blog you will learn how to use Amazon Cognito credentials and IAM Roles to invoke Amazon Bedrock API in a react-based application with JavaScript and the CloudScape design system. You will deploy all the resources and host the app using AWS Amplify.
- Valida automáticamente tus respuestas de AWS Bedrock LLM
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AWS Bedrock Claude 2.1 - Return only JSON
Working with the AWS Bedrock API is an exhilarating experience! I came across an interesting business case where I needed to develop an AI MVP. The MVP generates JSON data based on a prompt and utilizes the anthropic.claude-v2:1 model in AWS Bedrock.
- Ask HN: Best Alternatives to OpenAI ChatGPT?
What are some alternatives?
Woodpecker - ✨✨Woodpecker: Hallucination Correction for Multimodal Large Language Models. The first work to correct hallucinations in MLLMs.
stable-audio-tools - Generative models for conditional audio generation
SuperAGI - <⚡️> SuperAGI - A dev-first open source autonomous AI agent framework. Enabling developers to build, manage & run useful autonomous agents quickly and reliably.
pejorative-compounds - Analysing patterns in English noun-noun pejorative compounds on Reddit
nohide - editors that don't really delete
langchain4j-examples
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/
lang2sql - A tutorial for setting an SQL code generator with the OpenAI API
autogen - A programming framework for agentic AI. Discord: https://aka.ms/autogen-dc. Roadmap: https://aka.ms/autogen-roadmap
spreadsheet - Spreadsheet Builder
YiVal - Your Automatic Prompt Engineering Assistant for GenAI Applications
BedrockConnect - Join any Minecraft Bedrock Edition server IP on Xbox One, Nintendo Switch, and PS4/PS5