5. Initialize and Display Chat History • Initialize the chat history using Streamlit's session state
• Display the chat history using '
http://
st.chat_message()' and 'st.markdown()'
SOFTWARE
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Initialize and Display Chat History with Streamlit Session State
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Building Streamlit UI for Local LM Studio Server
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4. Set up the Streamlit App Streamlit lets you create user interface with just python code, for this app we will:
• Add a title to the app using 'st.title()'
• Add a description for the app using 'st.caption()'
• Point to the local server set up using LM Studio -
Deploy Llama-3 Locally with OpenAI Compatible API
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3. Deploy Llama-3 locally and Create OpenAI like API
— Shubham Saboo (@Saboo_Shubham_) 10 juin 2024
• Download & Install the @LMStudioAI desktop app
• Download llama-3 instruct model
• Expose the model as OpenAI API by simply starting the server.
Here's the video walkthrough: pic.twitter.com/iUiDeV7Z9z3. Deploy Llama-3 locally and Create OpenAI like API • Download & Install the @LMStudioAI desktop app
• Download llama-3 instruct model
• Expose the model as OpenAI API by simply starting the server. Here's the video walkthrough: -
Building Web App with Llama-3 and Streamlit Integration
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2. Import necessary libraries • Streamlit for building the web app
• OpenAI for accessing the Llama-3 model from a local server using the @LMStudioAI -
MLX: Deep Learning Framework for Machine Learning on macOS
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7. MLX: A deeplearning framework for machine learning on macOS! You can efficiently train and deploy ML models. The repo also includes examples to run open-source models using MLX, like LLaMA, Mixtral 8x7B, LoRA, CLIP, Whisper and Stable Diffusion. https://
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7 Amazing Python Libraries for Data Science and Machine Learning
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7 amazing Python libraries for Data Science and Machine Learning not known to many:
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Following Best Practice in Code Development
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I also use “follow(ing) best practice” too (for code)
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Optimize Code for Readability and Conciseness
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“comprehensive” “direct” and/or “detailed” often combined with “concise” “optimize for human readability and minimal lines of code” is my go to code prompt (more than 3 words I know)
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Analysis of model list retrieval logic and release delays
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Looks very related, yes. In case they had to roll back the release it would easily explain the delay. + The issue was somewhere around a models list retrieval logic
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Google Chrome introduces AI-powered automatic tab organizer
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Organisateur d'onglets intelligent
— Jouhatsu | AI Influence Operator (@Jouhatsu_ai) 8 juin 2024
Chrome suggère et crée automatiquement des groupes d'onglets en fonction de vos onglets ouverts.
Utile pour effectuer plusieurs tâches, comme planifier un voyage, faire des recherches et faire du shopping. pic.twitter.com/0MN5IApSMbOrganisateur d'onglets intelligent Chrome suggère et crée automatiquement des groupes d'onglets en fonction de vos onglets ouverts. Utile pour effectuer plusieurs tâches, comme planifier un voyage, faire des recherches et faire du shopping.