Love this. May I use #SolarLLM at https://
colab.research.google.com/drive/1hiGt4dB
WEZ8Xsb3fUtONg3EEbguumaZ0#scrollTo=IqM-T1RTzY6C
… and add it as a tutorial at https://
github.com/hunkim/SolarLL
MZeroToAll
…? I will include the original link and give credit.
CODE
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SolarLLM Integration Tutorial Sharing on Google Colab
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Databricks Launches AI-Powered Code Autocomplete Assistant
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Introducing Databricks Assistant Autocomplete! Real-time, personalized code suggestions as you type. Directly integrated into the notebook and SQL editor, Assistant Autocomplete suggestions blend seamlessly into your development flow. Learn more!
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Sam Altman expects major AI programming advances in next year
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Esto lo quise comentar en el directo de ayer pero se me pasó:
— Carlos Santana (@DotCSV) 22 mai 2024
En una entrevista, hace una semana, Sam Altman comentaba que espera para los 12 meses que uno de los avances más prometedores sea en programación.
Ojalá OpenAI dando un buen empujó a lo que un día comenzó con Codex! pic.twitter.com/yMkN0EaHCqEsto lo quise comentar en el directo de ayer pero se me pasó: En una entrevista, hace una semana, Sam Altman comentaba que espera para los 12 meses que uno de los avances más prometedores sea en programación. Ojalá OpenAI dando un buen empujó a lo que un día comenzó con Codex!
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Charlie Mnemonic Update: Long-Term Memory and Stoic Mentor
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Today, we released a new update for Charlie Mnemonic – our open-source AI assistant with Long-Term Memory (LTM). LTM helps the agent learn new skills and gain knowledge from you. Now, with Memory Explorer. Another helpful addition is the Stoic Mentor personality, which allows
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HuggingFace Local Cache Layout Design Overview
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please take a look at the hf local cache layout! It's versioning aware and quite nice IMO:) https://
github.com/ggerganov/llam
a.cpp/issues/7252#issuecomment-2107098197
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Guide to Structured JSON Generation for LLMs
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New guide in our AI cookbook: 𝙎𝙩𝙧𝙪𝙘𝙩𝙪𝙧𝙚𝙙 𝙜𝙚𝙣𝙚𝙧𝙖𝙩𝙞𝙤𝙣! This technique lets you force your LLM to generate its output as a JSON with specific keys: great for RAG or LLM-judge! Read it here: https://
huggingface.co/learn/cookbook
/structured_generation
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Real Prompt Engineering: Tedious but Satisfying Problem-Solving
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Real prompt engineering is tedious but satisfying. I just spent 6 hours experimenting to solve a handful of bugs in the Reactor .is ghostwriting pipeline. Sometimes you gotta try a dozen different techniques to find a way to solve an issue consistently and without creating new
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Docs-QA AI Agent: Chat Interface for Knowledge Base
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5. Click on Create Chatbot and Ask any questions to the AI Agent
— Shubham Saboo (@Saboo_Shubham_) 22 mai 2024
It creates a Chat UI with the ability to chat with the docs in the knowledge base.
Working demo of Docs-QA AI agent 👇 pic.twitter.com/8BT0J53JPW5. Click on Create Chatbot and Ask any questions to the AI Agent It creates a Chat UI with the ability to chat with the docs in the knowledge base. Working demo of Docs-QA AI agent
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Adding Data to Knowledge Base for AI Systems
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4. Add Data to the Knowledge Base Here, you have two options:
• Add the URL of the webpages you want to add to the knowledge base
• Upload the files locally from your computer to the knowledge base Let's add the URL of few pages from the embedchain docs. -
Creating an AI Agent: Naming and Documentation QA RAG
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2. Give a Name to your AI Agent For this example, let's create an AI agent that can chat with documentation and provide pin-pointed answers to users questions. Let's name it as: 'Docs-QA-RAG'