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🚀 Excited to share my latest project: an OCR (Optical Character Recognition) app! 🚀 🔍 Key Features: Flask API: Built a robust backend with Flask for seamless performance. Hosted on Vercel: Ensured scalability and security by deploying on Vercel. Google OCR Kit: Leveraged Google OCR Kit for precise text detection. Generative AI Integration: Enhanced text processing with a Generative AI API. Retrofit: Utilized Retrofit for efficient API communication. This app accurately detects text from images using Google OCR Kit and processes it through a Generative AI API, creating a smooth and efficient user experience. Proud to bring together modern AI technologies and strong backend development to deliver this powerful OCR solution! 📱✨ Here is the source code - https://lnkd.in/ei3J-n7g Here is the api I created - https://lnkd.in/e2Pt9AQK Prompt] #OCR #Flask #Vercel #GoogleOCRKit #GenerativeAI #Retrofit #AppDevelopment #AI #TechInnovation

What do you need to manage LLM apps in production? Get the guide! Learn: 3️⃣The 3 layers of the LLMOps Tech Stack ➡️ The 10-step workflow for building & managing LLM apps 🦉What LLM Observability is and why it matters Get the whitepaper: https://loom.ly/D0ugbEs From proven industry thought leaders, Prof. Anupam Datta of TruEra and Arijit Bandyopadhyay of Intel AI #LLMOps #MLOps #AIQuality #GenAI #LLMApps

What do you need to manage LLM apps in production? Get the guide! Learn: 🍰The 3 layers of the LLMOps Tech Stack ➡️ The 10-step workflow for building & managing LLM apps 🦉What LLM Observability is and why it matters Get the whitepaper: https://loom.ly/D0ugbEs From proven industry thought leaders, Prof. Anupam Datta of TruEra and Arijit Bandyopadhyay of Intel AI #LLMOps #MLOps #AIQuality #GenAI #LLMApps

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SWE-Agent: AI Agents Automatically Codes and Builds Apps, Code, etc! (Opensource) In this video, we dive deep into the capabilities of SWE-Agent, a groundbreaking AI framework that is transforming how developers tackle real-world GitHub issues. SWE-Agent was built to take on the challenge of resolving GitHub issues automatically, using GPT-4 or any language model of your choice. 🌐 https://lnkd.in/d_XRRe9s

Build Your Llama 3 405B Chatbot: It's Easier Than You Think 🚀 🦙 Llama 3.1 405B is here, and it's a game-changer! It's the largest and most powerful open-source model, rivaling the best closed-source models like GPT-4o and Claude 3.5 Sonnet. I've created a free chatbot template to interact with the mighty Llama 405B model using Streamlit. The app uses the Fireworks API as the LLM provider, offering the model at a dirt-cheap price of 💰3 per million tokens, while GPT-4o costs around $15. You can try it out on Comment GitHub link

Join Guy Eshet later today as he dives into what it takes to build successful #AI applications at scale in the webinar 'From Idea to Production: AI Infra for Scaling LLM Apps'. 📅 TODAY! Apr. 17, 2024 | 11am EST | Register: https://lnkd.in/daNiSKFv We'll cover: 🎯 Common challenges when building #genAI & #LLM apps 🧩 How to add adaptability into the design and deployment of LLM applications 🏇 Building LLM apps that keep up with the fast pace of the industry

Build and scale LLM applications within minutes using the AI API platform — 20x cheaper than #GPT4! • Set up and scale RAG applications • Pick any open-source LLM to power your RAG apps • Customize chunking, embedding, and retrieval strategies