Explore the power of the new Llama 3.1 model by Meta AI in this exciting showcase! Discover how you can pair this state-of-the-art open-source LLM with a pair programmer to create a full SaaS application.
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[Must Watch]:
Aider + Llama 3.1: Develop a Full-stack App Without Writing ANY Code!: [ Ссылка ]
Llama 3.1 - 405b, 70B & 8B: The BEST Opensource LLM EVER!: [ Ссылка ]
Continue: AI Auto-Completes Code To Create Software For FREE!: [ Ссылка ]
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Command: meta-llama/Meta-Llama-3.1-405B-Instruct-Turbo
For those who might not know:
- Meta AI recently launched Llama 3.1, their latest and greatest open-source LLM.
It comes in three sizes:
405B: The flagship foundation model, boasting top-notch performance.
70B: A versatile and cost-effective model suitable for various applications.
8B: A lightweight, fast model that can be deployed almost anywhere.
In terms of performance, Llama 3.1 excels in coding capabilities, particularly under HumanEval and Eval Plus benchmarks. It stands out as a superior coding-based model, closely competing with GPT-4 Omni and Claude Sonnet 3.5.
Imagine having this open-source model deployed locally as your personal coding copilot! In today's video, I'll demonstrate how you can create a new coding copilot/assistant using ContinueDev and the new Llama-3.1 (405B & 8B) models for free with TogetherAI's free tiers. This Meta AI Llama-3.1-based copilot is a remarkable alternative to GitHub Copilot, offering superior performance without the need for GPUs. Plus, it can integrate with any open-source LLM, OpenAI models, or other Claude models like Claude-3.5 Sonnet, GPT-4O, Claude-3, CodeQwen, and more.
Let's dive straight into the video!
Hashtags:
#metaai #llama3 #OpenSourceLLM #CodingCopilot #saasapplication #TogetherAI #ContinueDev #githubcopilotalternative #aiprogramming #machinelearning
Tags/Keywords:
Meta AI, Llama 3.1, Open Source LLM, SaaS Application, Coding Assistant, ContinueDev, TogetherAI, AI Programming, Machine Learning, GitHub Copilot Alternative, HumanEval, Eval Plus, GPT-4 Omni, Claude Sonnet 3.5, CodeQwen, OpenAI Models
