Insanely Fast LLAMA-3 on Groq Playground and API for FREE
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- čas přidán 1. 06. 2024
- Learn how to get started with LLAMA-3 on Groq API, the fastest inference speed that is currently available on the market on any API. Learn how to use the Groq API in your own applications.
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LINKS:
Notebook: tinyurl.com/57yhf26h
Groq API: groq.com/
TIMESTAMPS:
[00:00] Getting Started with Llama 3 on Grok Cloud
[01:49] LLAMA-3 ON Playground
[03:03] Integrating Llama 3 into Your Applications with Grok API
[05:40] Advanced API Features: System Messages and Streaming
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Oh my! And it even has function calling too. Looking forward to Whisper integration.
Yeah, whisper will be awesome. Need to try their function calling with llama3
very nice explained
Bro this is WILD! Just imagine combining this with agent frameworks like Crew AI! 😮
i watch this with 2x playback speed its generations speed become like a dream come true
Try 4x speed you will reach agi
@@Yusef-uh4wl what? LOL
Wow, that’s fast. Are you going to test this with function calling in an agentic workflow?
I get 50 tokens per second for the 8b on a 3090 at home. Its a nice model.
"we don't care about the responses, we only care about the speed". I can give you an even faster API that just returns random words :)
Cool, a fast passphrase generator 😂
Actually author has a point. Picture a scenario with multiple agents working together on a super complex task. You might not even care about their responses or understand their complicated talk, but all you really want is to have 800 tokens per second to handle the task in just a few seconds. At that point, the final response is all that matters. Although I wish that random word generator API or "Infinite monkey theorem" was enough to solve world complex problems 😅
@@unclecode actually human do that. there was a time when our team as human work together, we must be work ridiculously fast then we all came up with stupid yet efficient way to communicate...
He means he is not going to test the accuracy of the model in this video.
He is demonstrating how fast the api is.
There are other videos or articles where performance of these models have been evaluated.
@@RickySupriyadi haha u right, and It's not surprising that we're inclined to use our own human collaboration methods to design multi-agent systems. There's a desire to make AI resemble us.
Sometimes it is limited, how to handle it?
Do we know how aggressively they quantize? I heard the quantization was pretty aggressive and as an outcome the models aren't "as good" as verbatim. If true, it's a reasonable tradeoff but we just need to know for sure so we can make informed decisions.
Yes I tested it for one of my complex calculation prompt and the one in the Groq (llama 70 billion) is really bad and answer wrongly always...but if I use the one in huggingchat, it will give perfect answer every time! So quantization really decrease the performance drastically and it doesn't matter if it fast when it gives the wrong answer.
@@Cingku I had fairly similar outcomes in my tests and stopped using Mistral / Mixtral back then. Maybe the free version target audience is just people testing and that would make sense. But it did not convince me to use the service. I'll give it another paid attempt see if it's any better.
Why did you set for only 1024 tokens?
Can you run Groq locally?
Cant wait for local models
They have been around since Thursday.
70b is fine for local run.
Llama3 can generate images as well right? Can I use this API to generate images?
If so, could please make a tutorial on that or atleast a short? (BTW, subscribed to see an update on that)
there is another model on meta.ai which can generate images. Its not part of llama3. I am not sure if its available via api. Will check it out and update on the channel.
@@engineerprompt also, if you don't mind please leave an update as reply to this if you found any update on that
How use Google Colab&Huggin Face to make Groq+Whisper converter ftom audio file to text with UI?
Please can you show us end to end fine-tuning llama3 on custom dataset
Check the previous video on the channel. Will be making more on fine-tuning.
Do u agree, Groq feels way better when u set "stream=False" :)) When you understand "stream" was a way to hide a weakness.
I totally agree. Streaming make it worse for Groq but others used it to show they are faster than they actually are :)
We just built Llama3 #RAG powered by groq and it's extremely fast 😮
Wait a second, that's extremely cheap
Notebook link doesn’t work
Can you check again, seems to be working on my end.
I did not understand the difference between system and user roles !
system role defines the behavior of the model. Think about that as a global instruction that will control the behavior model. "user" role is the actual input from the user. Hope that helps.
You said for free ?! How this is possible ?
Groq has too many LPUs that's why
@@wwkk4964 its not free groq has clear pricing for models
so fucked up that you wrote free