llama3
FLiPStackWeekly
| llama3 | FLiPStackWeekly | |
|---|---|---|
| 18 | 83 | |
| 20,272 | 14 | |
| 15.0% | - | |
| 8.9 | 9.9 | |
| 8 days ago | 1 day ago | |
| Python | ||
| GNU General Public License v3.0 or later | Apache License 2.0 |
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llama3
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Hindi-Language AI Chatbot for Enterprises Using Qdrant, MLFlow, and LangChain
Now, let's start building the next part of the chatbot. In this part, we will be using the LLM from Ollama and integrating it with the chatbot. More particularly, we will be using the Llama-3 model. Llama-3 is Meta's latest and most advanced open-source large language model (LLM). It is the successor to the previous Llama 2 model and represents a significant improvement in performance across a variety of benchmarks and tasks. Llama 3 comes in two main versions - an 8 billion parameter model and a 70 billion parameter model. Llama 3 supports longer context lengths of up to 8,000 tokens.
- FLaNK AI-April 22, 2024
- Meta Llama 3 GitHub
- Mark Zuckerberg himself appears in the list of direct contributors to Llama 3
- Mark Zuckerberg: Llama 3, $10B Models, Caesar Augustus, Bioweapons [video]
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Llama 3 in [8B and 70B] sizes is out
What is fascinating is how the smaller 8B version outperformed the bigger previus-gen 70B model in every benchmark listed on the model card:
- Llama 3 GitHub Repository
- Meta Llama 3
FLiPStackWeekly
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