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Ana Sayfaya Dön

Lets build `Auto-RAG` where we let the LLM pull the data it needs from different sources. 🔎 The user asks a question. 🤔 LLM decides whether to search its knowledge, memory, internet or make an API call. ✍️ LLM answers with the context. Code:

Ashpreet Bedi

19,980 subscribers

174,570 görüntüleme • 2 yıl önce •via X (Twitter)

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Vexxter profil fotoğrafı

Vexxter2 yıl önce

is there any way to run a local quantized LLM via ollama in this?? amazing project btw!

Ashpreet Bedi profil fotoğrafı

Ashpreet Bedi2 yıl önce

@XPhyxer1 absolutely the Hermes2-llama3 might work well here :)

Jordan A. Metzner profil fotoğrafı

Jordan A. Metzner2 yıl önce

Just read the read me. Any plans for Groq on Llama 3.

Ashpreet Bedi profil fotoğrafı

Ashpreet Bedi2 yıl önce

@mrjmetz on it!

Ameriki Singh 🈳 profil fotoğrafı

Ameriki Singh 🈳2 yıl önce

Would love to see groq and Llmma3 on it

Emma.Ai profil fotoğrafı

Emma.Ai2 yıl önce

wow, can't wait to try this out

CoinCollector profil fotoğrafı

CoinCollector2 yıl önce

Ashpreet is coooooking

0xba0e7f9d profil fotoğrafı

0xba0e7f9d2 yıl önce

🧑‍🚀this is awesome demo!

Aws Abdo, Ph.D. profil fotoğrafı

Aws Abdo, Ph.D.2 yıl önce

This work on automating retrieval and generation tasks is incredibly helpful. Thanks you! #MachineLearning #DataScience

Petamber profil fotoğrafı

Petamber2 yıl önce

You can also try Brave’s Search API for web search

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