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Using LLaMA 3 70B on Groq Inc to instantly refactor and document code. The implications for software engineering are wild. Gone are the days of waiting on an LLM for suggestions or code changes. Now, it's an instant feedback loop. Demo link in the comments:

442,695 次观看 • 2 年前 •via X (Twitter)

10 条评论

Matt Shumer 的头像
Matt Shumer2 年前

Try it here:

Andrej Karpathy 的头像
Andrej Karpathy2 年前

@GroqInc ugh kids these days! back in my days we used to watch the tokens stream one at a time and wait for the output.

Matt Shumer 的头像
Matt Shumer2 年前

@GroqInc Dude…. big fan. Your character-level GPT models were how I initially got into training models

Gillinghammer 的头像
Gillinghammer2 年前

@GroqInc slap it in a VSCode extension immediately

Matt Shumer 的头像
Matt Shumer2 年前

@GroqInc I'm sure the @cursor_ai team is thinking about something similar

Ciprian Cîmpan 🌶️ 的头像
Ciprian Cîmpan 🌶️2 年前

70B + @GroqInc = absolutely awesome combo 💙 the only downside is that they don't let us pay yet (free tier is throttled🥲)

Haider. 的头像
Haider.2 年前

@GroqInc Groq is getting rightly attention after the Meta Llama 3.

Jon Mitchell 的头像
Jon Mitchell2 年前

@GroqInc Groq speed + 1M context + agents = 🔥

Andrew Sperazza 🇺🇸 的头像
Andrew Sperazza 🇺🇸2 年前

@GroqInc @GrocInc is highly under-rated.

@asyncze 的头像
@asyncze2 年前

@GroqInc 👀

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