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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

19,959 subscribers

174,580 просмотров • 2 лет назад •via X (Twitter)

Образование Наука и технологии

Anya Rossi• Live Now

Private livecam show

Комментарии: 10

Фото профиля Vexxter

Vexxter2 лет назад

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

Фото профиля Ashpreet Bedi

Ashpreet Bedi2 лет назад

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

Фото профиля Jordan A. Metzner

Jordan A. Metzner2 лет назад

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

Фото профиля Ashpreet Bedi

Ashpreet Bedi2 лет назад

@mrjmetz on it!

Фото профиля Ameriki Singh 🈳

Ameriki Singh 🈳2 лет назад

Would love to see groq and Llmma3 on it

Фото профиля Emma.Ai

Emma.Ai2 лет назад

wow, can't wait to try this out

Фото профиля CoinCollector

CoinCollector2 лет назад

Ashpreet is coooooking

Фото профиля 0xba0e7f9d

0xba0e7f9d2 лет назад

🧑‍🚀this is awesome demo!

Фото профиля Aws Abdo, Ph.D.

Aws Abdo, Ph.D.2 лет назад

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

Фото профиля Petamber

Petamber2 лет назад

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

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