Byte of AI | ML, DL, GenAI, LLMs

Just tried Kimi K2 AI by Moonshot — it’s like ChatGPT, but with a jetpack. 🚀 Real-time web access, long context, smart and fast. Definitely a game-changer. #KimiK2 #AItools

📢 “Is this biryani healthy?” Let Gemini AI answer 🍛💬 Built a Calorie Tracker using food image recognition + macro detection Snap. Analyze. Track. #GenAI #GeminiFlash #AIforGood LINK=github.com/Aakash326/ML-m…

Just launched an AI Calorie Tracker using Gemini Flash Vision! Input: Picture of food Output: ✔️ Name ✔️ Description ✔️ Calories ✔️ Health score No more manual tracking 🙅‍♂️ #AI #Gemini #CalorieCounter

Built a Gemini-powered AI that says: “That’s Chicken Biryani 🍛— 420 kcal, not healthy!” 📸→🤖→📊 Food detection + nutrition tracking using only image input! #GeminiVision #PythonAI #AIBuilder

👀 Upload a food pic 🤖 Gemini Vision tells you: 🍽️ What’s on the plate 🔥 Calories & macros ⚠️ Health score Built this AI-powered calorie tracker in Python using #GeminiFlash 💪 #BuildInPublic #AI

🍛 Built a Calorie Tracker that analyzes food from images using Gemini 2.0 Vision 🤯 Just snap your plate → get name, taste, calories, macros! Biryani? AI says: 420 kcal, not healthy 😅 #GeminiAI #AIProject #XAI

Been playing with LLaMA 3.1B — open-source and incredibly capable. Props to Meta for keeping the open frontier alive. The power of language models is finally in our hands. #LLaMA3 #opensource #LLM #AIDev

LLaMA 3.1B is out and it’s 🔥 Small enough to run on local GPUs, smart enough to build real-world apps. Open-source LLMs are changing the game—and Meta just pushed the boundaries again. #LLaMA3 #LLM #OpenSource

🛠️ Tweet 2: Developer Perspective LLaMA 3.1B is out and it’s 🔥 Small enough to run on local GPUs, smart enough to build real-world apps. Open-source LLMs are changing the game—and Meta just pushed the boundaries again. #LLaMA3 #LLM #OpenSource

🚀 Huge shoutout to Meta for releasing LLaMA 3.1B open-source! Compact, powerful, and truly democratizing AI development for everyone. This is how you move the community forward. #LLaMA3 #OpenSourceAI #LLM #AICommunity

@SinghNecoder Excellent work

Dove into how LLMs process and chunk text in RAG pipelines. Learned how different splitting strategies impact chunk size, overlap, and retrieval accuracy — all critical for better context and smarter responses. 🧠 #RAG #LangChain #LLM #AI #TextSplitter

@AryanDevelops01 Great work

After building a local AI agent with Python & ChromaDB I'm now building a RAG-powered chatbot using: 💬 TypeScript 🔗 Langchain ⚡ Next.js Goal: Real-time answers from custom data, on web Scaling the same concept ,different stack. #buildinpublic #RAG #Langchain #Nextjs #AI

@rayyanmoosa_ Great job

Just launched my Fiverr gig where I build custom GPT-4 AI agents using LangChain + Python. ✅ Lead gen ✅ Job apps ✅ Real estate scrapers ✅ eCom review bots Automate boring work with AI. 🔗 Check it out: fiverr.com/s/kLW3xEA #AI #GPT4 #LangChain #Fiverr

🧠 Learned Topological Sort today – the graph algo used in: 🔹 Course scheduling 🔹 Task dependency resolution 🔹 Build system orderings (like Makefiles) Loved the clarity in @takeUforward’s Striver Sheet + video. #DSA #GraphAlgorithms #TopologicalSort #StriverSheet #100Days

Massive thanks to @takeUforward 🙌 His Topological Sort video made the concept super intuitive — especially visualizing in DAGs Next: Building real-world dependency resolver with this knowledge 👨‍💻 #DSA #GraphAlgorithms #StriverSheet #TopologicalSort

2/ 🔧 Problems I solved: • Course Schedule I (LC 207) • Course Schedule II (LC 210) • Detect cycle in a directed graph Helps you grasp Kahn’s Algo + DFS-based topo sort

Topological Sort isn’t just another graph algo. It’s what powers: 🔁 Course planners 🧱 Build pipelines 🧠 Dependency graphs Today I solved 3 key problems from Striver’s Sheet 👇

Before watching Ed Doner’s LangChain module: 🤯 So many concepts, couldn’t connect the dots After watching: ✅ Built my own agent ✅ Understood memory + toolchains ✅ Ready to go full-stack LLM Massive respect 🙌 #LLMEngineering #LangChain #AIlearning

Huge shoutout to Ed Doner for delivering some of the best hands-on LLM content I’ve seen. His sections on LangChain, RAG, memory, agents, and tools in the LLM Engineering course? 🔥 Pure gold. Learned more in 3 hours than weeks of docs. #LangChain #LLM #RAG #GenAI #AgenticAI

💻 Try It + Source Code: 🔗 GitHub: github.com/Aakash326/ML-m… You can fine-tune it, deploy on Streamlit, or turn it into a mobile app. Like this project? 👉 Follow @byteofai for more real-world AI builds 🚀 #DeepLearning #MachineLearning #TensorFlow #AIProjects #BuildInPublic