Learn AI Engineer Skills: Autonomous Agentic Behavior (Llama 3 8B Ollama)

Рет қаралды 5,897

Күн бұрын

Пікірлер: 24

@governordog 6 ай бұрын

You are a real life saver. I was trying to to figure out how to divide by elephants for my job. I might just get a raise for this! Thanks

@oshodikolapo2159 6 ай бұрын

🤣🤣

@wurstelei1356 6 ай бұрын

I love how the AI finds the average weight of an elephant. This LLM is just going to replace your job if you don't adapt...

@wurstelei1356 6 ай бұрын

This is getting more and more my most liked channel. Keep it up !

@TailorJohnson-l5y 6 ай бұрын

Another great one. Keep em coming! You have interesting thought process, thank you

@Beauty.and.FashionPhotographer 6 ай бұрын

Task for You: to get 2 chatbots (mistral and claude LLMs?) to discuss with each other , dialoguing and figuring out with each other's arguments and reasonings, and convincing each other on the 5 most important Human projects that could change Humanity to the better in the next 2 weeks.... Let 2 Ai Chatbots figure this out with each other ! i wonder what thes 5 resulting projects would become

@waqaskhan-uw3pf 6 ай бұрын

Please make video about Romo AI super AI tools in one place and learnex AI world's First fully AI powered education platform. My favorite AI tools

@N_Wisdom 6 ай бұрын

How does the system handle invalid JSON responses during its operation?

@nic-ori 6 ай бұрын

Useful information. Thank you!👍👍👍

@USBEN. 6 ай бұрын

Solid model for these tasks.

@drhenkharms6514 6 ай бұрын

Ok.. new kid on the block here... where do I find this example on the members github?

@phdcosta 6 ай бұрын

thanks!

@ewasteredux 6 ай бұрын

Hi Kris. I have heard that there are some versions of llama3 that have a very large context window. If this is true, is there an easy way to feed a bunch of articles into the model using RAG and query it easily? An example implementation might be a troubleshooting system in which there might be a knowledge base with many articles on common troubleshooting steps for varied issues where the KB is all read into the LLM and someone can ask questions of the LLM and it can determine the most likely cause based on the problem description. Any suggestions?

@aaaAaAAaaaaAa1aAAAAaaaaAAAAaaa 6 ай бұрын

higher context requires more ram so keep that in mind just search on hugging face for llama3 gguf models

@wurstelei1356 6 ай бұрын

I think Kris has a video on this. You have to generate an optimized query (by AI), then feed your docs chunk by chunk together with your query/question piece by piece into the context. Each step creates a summary which is then analyzed in the end.