abhiroop bhattacharyya
@TechMavAbhiroop
Backend Engineer | Python & Django | AI & Deep Learning Enthusiast | Exploring Generative AI | #0to100xEngineer | Building smarter, not harder
Day 38 of #𝟎𝐭𝐨𝟏𝟎𝟎𝐱𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫 LLMs are pattern recognizers, not databases. They predict, not verify. If you want better answers - ask sharper questions.
Day 37 of #𝟎𝐭𝐨𝟏𝟎𝟎𝐱𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫 Hallucination isn’t a bug in LLMs - it’s a feature. It’s how they imagine, infer, and create beyond what’s explicitly known. The problem starts only when that imagination wanders away from factual territory.
Day 36 of #𝟎𝐭𝐨𝟏𝟎𝟎𝐱𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫 From Tool Calling to MCP: The evolution of LLMs beyond text. LLM could talk, not act Tool Calling changed that by giving AI the power to execute tasks. But it broke at scale: no standard, high friction. Now, MCP is the fix - HTTP 4 AI
Here’s the AI news roundup from the past week. Drop a comment with anything I missed! - @OpenAI: Unveils Atlas browser - OpenAI: Launches @ChatGPTapp integration with business tools - OpenAI: Expands Shared Projects feature to all ChatGPT users - OpenAI: Acquires Software…
𝐃𝐚𝐲 𝟑𝟑 𝐨𝐟 #𝟎𝐭𝐨𝟏𝟎𝟎𝐱𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫 Phase 2 of my AI Newsletter app Built a simple React frontend for the DRF backend -users can now log in, view past newsletters, and explore sources by topic. Funny thing - a few new features emerged while designing the UI
Day 32 of #0to100xEngineer Back on Twitter after a break! 🚀 Thanks @saumay_agrawal for the suggestion 🙏 Phase 1 of my newsletter app done: JWT login ✅ Manage scrape sources ✅, Postgres DB ✅. Built with DRF.
At its core, an LLM is just a probabilistic classifier - predicting the next token based on all the tokens before it. That’s it. Next-word prediction at scale turns into intelligence. #LLM #AI #Tech #0to100xEngineer
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