User Profile
koreyspace
MicrosoftJoined 3 years ago
User Widgets
Recent Discussions
AI Discord - Community Roundtable #5 - Working With Open LLMs
AI Discord - Community Roundtable #5 - Working With Open LLMs Thanks for everyone who joined our live session with Sharmila and Facundo on working with LLMs. This was part of our series in the AI Community Discord where we host community roundtables every 2 weeks on a Generative AI topic that is voted on by the community. This week we discussed working with Open LLMs including Mistral and Llama2. Our speakers walked us through what they are seeing in terms of how teams are blending OpenAI models + Open LLMs, how to work with these modes in Azure AI Studio and we saw a demo of using Prompt Flow to evaluate different models on one prompt. Recording Here is the recording. (Apologies for audio problems at the start) Additional Resources Explore the model catalog in Azure AI Studio Develop a flow using Prompt Flow Tune prompts using variantsICYMI: Fine-tuning - Azure AI Discord Community Roundtable
Hello Everyone! Last week we hosted a Community Roundtable in the Azure AI Discord on Fine-tuning. The Community Roundtables are a time where members of the Azure AI Discord can come and learn together on a specific AI topic that is voted on by the community. For this session, we covered Fine-tuning LLMs. The session started with a brief lighting talk fromnityaand then we open the stage for members to ask questions and talk about their experiences with fine-tuning. Here is the recording for anyone who missed it: Here is a summary of some of the questions and topics discussed generated with the help of CoPilot: beginners. 0:59 Question:What is fine-tuning in the context of AI? Answer:Fine-tuning is described as retraining an existing model with new data to improve its performance. 7:40 Question:Why should we fine-tune AI models? Answer:Fine-tuning is appropriate if the response quality is not achievable with other techniques, considering the trade-offs such as cost efficiency. 8:50 Question:When should we consider fine-tuning AI models? Answer:Fine-tuning should be considered only if the benefits outweigh the costs, after trying other approaches first. 10:22 Question:What are the steps involved in fine-tuning an AI model? Answer:The steps include preparing data, training and evaluating the model, and then deploying and using it. 11:20 Question:How does one decide on the amount of data needed for fine-tuning? Answer:The amount of data needed depends on the model, provider, and use case, ranging from a few hundred to thousands of samples. 11:45 Question:What are the considerations for deploying a fine-tuned AI model? Answer:Considerations include deployment constraints, model rate limits, and validating the model in a playground before production. 13:53 Our next session in the AI Discord is an Office Hours about the RAG on Thursday, June 13th. This is an ask me anything and open floor discussion. See you in the Discord! - Korey
Discord Community Call #1 - RAG Resources
Blog resource with Towards Data science: https://medium.com/towards-data-science/add-your-own-data-to-an-llm-using-retrieval-augmented-generation-rag-b1958bf56a5a Samples: Azure-Samples/aistudio-python-quickstart-sample: Quickstart Python sample for getting started using the Azure AI Studio with the SDK or CLI options (github.com) RAG w/ Langchain sample: Azure-Samples/aistudio-python-langchain-sample: Quickstart sample for using the Azure AI Studio with the SDK or CLI options - and the LangChain framework. (github.com) Hugging Face Leaderboard:Building Generative AI Applications - Links
Thanks for joining the Building Generative AI Applications session. Below are the links to all the resources mentioned: Generative AI for Beginners Github Repo Link to the Repo Generative AI Lesson Collection Link to Collection Azure AI Discord Discord Link Next Sessions Link to SeriesIntegrating ChatGPT into Apps Links and Resources
Integrating ChatGPT Into App Links and Resources Hey everyone, thanks for joining the session ! Here are the links and resources for the session: Links Workshop Recording Azure OpenAI Service Documentation Introduction to Azure OpenAI Service Github Repo - Jupyter Notebook Github Repo - StardewGPT System message framework and template recommendations for Large Language Models (LLMs) Prompt Injection, explained Speakers Korey Stegared-Pace - LinkedIn / Twitter Henri Schulte - LinkedInBuild Your Own ChatGPT Links and Resources
Hey everyone, thanks for joining the session! Here are the links and resources for the session: Links Workshop Recording Azure Open AI Documentation Getting Started with Azure OpenAI Course Github Repo Blog Post LangChain Documentation Azure OpenAI Pricing Speakers Korey Stegared-Pace - LinkedIn / Twitter Yashoda Singh - LinkedIn Next AI Session Integrating Generative AI with GamingWeb Developement for Beginners - Links and Resources
Thanks for everyone joining Week 1 of our Web Development for Beginners Course! Here are the links and resources shared: Web Development Challenge - 8 Weeks Meet Other Students Week 8 Week 8 Recording Week 8 Lesson Tailwind Documentation Week 7 Week 7 Recording Week 7 Lesson React Docs about State Redux Hookstate Recoil Week 6 Week 6 Recording Week 6 Lesson Github Repo Supabase Week 5 Week 5 Recording Week 5 Lesson React Documentary New Official React Docs Week 4 Week 4 Recording Week 4 Lesson MDN - Fetch API MDN - Async/Await Thunder Client Extension Pokemon API Week 3: Week 3 Recording Lessons for the Week Making Decisions with JavaScript Week 2: Week 2 Recording Lessons for the Week JavaScript Variables and Data Types JavaScript Functions Week 1: Week 1 Recording Lessons for the Week Github VS Code Other Resources VS Code Extensions - Prettier, Code Runner, Live Share WSL2 - For Windows Terminal Node JS Install Node JS With WSL2 Github Desktop Find Korey Here Twitter LinkedIn Feel free to post any links you think are helpful to the other students here! Let me know if you get stuck anywhere.Level up your app development using GitHub Copilot and Codespaces - Links and Resources
Hey everyone, thanks for joining the stream. Here are the links and resources Liam and I shared: Workshop Recording Codespaces and CoPilot Survey Register for VS Code Day Github Repo Other Great CoPilot and Codespaces Next JS Codespace Template Get Started with the Future of Coding: GitHub Copilot Introduction to CodespacesBuilding Computer Vision Products with NVIDIA and Azure - Links and Resources
Thanks everyone for joining the workshop! Here are the links and resources that we shared: Workshop Recording NVIDIA DeepStream development with Microsoft Azure Analyze images with the Computer Vision service Running TAO Toolkit on an Azure VM Computer vision at the Edge with NVIDIA DeepStream and Azure IoT Edge
