https://github.com/cgpeanut/groq_api_llama3
Science Score: 13.0%
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○CITATION.cff file
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✓codemeta.json file
Found codemeta.json file -
○.zenodo.json file
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○Scientific vocabulary similarity
Low similarity (4.7%) to scientific vocabulary
Last synced: 10 months ago
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JSON representation
Repository
Basic Info
- Host: GitHub
- Owner: cgpeanut
- Default Branch: main
- Size: 1000 Bytes
Statistics
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 0
Created over 1 year ago
· Last pushed over 1 year ago
Metadata Files
Readme
README.md
Beginner's Guide to Groq API with Llama 3
The Groq API, combined with the powerful capabilities of Llama 3, offers an innovative approach to building and deploying machine learning models. Groq, known for its high-performance AI accelerators, provides an efficient and scalable platform for running complex AI workloads. Llama 3, a state-of-the-art language model, leverages these capabilities to deliver robust natural language processing (NLP) solutions.
This guide will walk you through the basics of using the Groq API with Llama 3, from setting up your environment to deploying your first model.
Owner
- Login: cgpeanut
- Kind: user
- Location: Spring Hill, TN
- Repositories: 3
- Profile: https://github.com/cgpeanut
GitHub Events
Total
- Push event: 2
- Create event: 2
Last Year
- Push event: 2
- Create event: 2