Understanding and Coding the Self-Attention Mechanism of Large Language Models From Scratch https://
bit.ly/3YL821l #AI #DeepLearning #MachineLearning #DataScience
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Self-Attention Mechanism in Large Language Models: Complete Guide
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Auto Code Tools Require Strong Coding Fundamentals
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Auto code tools are coming, but they will be useless to you if you don’t know how to code. You will see why shortly. Learning to code is very very important, ; but paradoxically, junior devs might be in a little trouble.
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Replit AI Panel Discussion with Industry Experts
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Thanks for joining us today! If you still have questions for our panelists, keep them coming and be sure to follow @chipro @amasad @pirroh
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Azure AI Studio Expands Model Access Through HuggingFace and OpenAI
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The model catalog allows developers using Azure AI studio to tap models through now both HF and OpenAI, along with other OSS models. HF is also basically the home of every niche and long tail OSS model that you can imagine.
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Microsoft Integrates Hugging Face Hub in AI Model Deployment Tools
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Yesterday at Build, Microsoft unveiled a suite of tools for developers around deploying AI models. One that might have flown under the radar was a direct integration with the Hugging Face hub right in the middle of its new model catalog
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Building LLM Applications for Production Engineering
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Here's @chipro 's blog post "Building LLM applications for production" https://
huyenchip.com/2023/04/11/llm
-engineering.html
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Post-Project Implementation Challenges for Developers
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5/ A major pain point when working with developers starts after the project is finished. You have to ask questions like:
– How should we implement this?
– What’s the best hosting provider?
– How can I make changes in the future? Implementation shouldn't be this difficult. -
Replit Deployments: Quick Custom Domain Project Launch
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6/ For @gennarocuofano, implementation WAS simple.
— Replit ⠕ (@Replit) 24 mai 2023
He used Deployments and had his project up on a custom domain in minutes.
He can easily make edits in his Repl and invite any builder to collaborate with in the future.
Take a look at how quickly you can deploy on Replit 👇 pic.twitter.com/NDYUecz0ix6/ For @gennarocuofano
, implementation WAS simple. He used Deployments and had his project up on a custom domain in minutes. He can easily make edits in his Repl and invite any builder to collaborate with in the future. Take a look at how quickly you can deploy on Replit -
From Tweet to Reality: Collaborative AI Project Development
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3/ It all started with a single tweet from @amasad
. @gennarocuofano saw the potential, posted his idea, and found the perfect dev to bring his vision to life. -
Building AI Chatbot with GPT-3.5-turbo in Two Weeks
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4/ @gennarocuofano connected with his developer in two days and had his AI chatbot built in under 2 weeks. The chatbot was built using @OpenAI
's gpt-3.5-turbo API and augmented with features like a rating system, voice activation, and one-click resource recommendations.