We evaluated Llama3.1 405B Instruct on SEAL Leaderboard. As a reminder, our evals are:
PRIVATE (no overfitting)
EXPERT EVALUATED (trustworthy)
EVOLVE (no saturation) Our results show Llama3.1 is top notch:
Instruction Following
Math
#4 Coding
CODE
-
Llama 3.1 405B Achieves Top Performance on SEAL Leaderboard
By
–
-
NVIDIA AI Foundry Enables Custom Llama 3.1 Deployment
By
–
With NVIDIA AI Foundry, enterprises and nations can supercharge #generativeAI with a service that spans curation, synthetic data generation, fine-tuning, retrieval, guardrails, and evaluation to deploy custom @AIatMeta Llama 3.1 NVIDIA NIM Microservices. https://
nvda.ws/3WhKH7Q -
Clarifai PAT Alternative to OpenAI API Key
By
–
No need of Open AI api key, Clarifai PAT(Personal Access Token) would be enough
-
Democratizing Software Engineering Power for All Knowledge Workers
By
–
Love it. Enabling all knowledge workers to be able to fully use computing power. Giving the powers of software engineering to non-engineers. This resounds a lot with what we're building @Lutra_AI
-
Explaining Attention Mechanism to Non-Technical Audience
By
–
I just explained the essence of “attention is all you need” to my dad
-
Programmable Block from Space Engineers Enables Custom Code Execution
By
–
Amazed by my new real-world Programmable Block from Space Engineers, built by my colleague @AIRobin_net !
— Marek Rosa | European🇪🇺 | South African🇿🇦 (@marek_rosa) 22 juillet 2024
I can play Pong, view pictures, and even upload new code.@SpaceEngineersG pic.twitter.com/sii6n5IOTYAmazed by my new real-world Programmable Block from Space Engineers, built by my colleague @AIRobin_net ! I can play Pong, view pictures, and even upload new code. @SpaceEngineersG
-
Daily Content on Python, Data Science, ML, and LLMs
By
–
That's a wrap! If you are interested in any of these topics: – Python – Data Science – Machine Learning – Data Analysis – LLMs – MLOps Find me → @Sumanth_077 I'm sharing daily content over here.
-
Upload PDF Research Paper Data to Clarifai Vector Database
By
–
Step 3: Upload the data, Here we are uploading the pdf file of a research paper. Once you upload the data, it will embed and index the data into your Clarifai app. Clarifai Apps acts as your vector database.
-
RAG System Setup: Using Clarifai App URL to Avoid Duplicates
By
–
Once you set up the RAG system, it will create a Clarifai App. Instead of passing your user ID repeatedly, which would create new apps each time, you could add your above created app's URL once the it is created.
-
Setting up RAG system with Clarifai and GPT-4o mini model
By
–
Step 2: Next, import the RAG class and set up the RAG system by passing your Clarifai user ID and the GPT-4o mini model URL from the Clarifai community. You can find it here: https://
clarifai.com/openai/chat-co
mpletion/models/gpt-4o-mini
… Once you sign up, you can find your user ID here: https://
clarifai.com/settings