Code • Linux • AI • Open source | AI Engineer Tech || Thoughts || 21 imagination {Code} = Magic ✨

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I spent the last 5 months learning AI Engineering seriously. My journey covered: → Python → Machine Learning → Deep Learning - CNN , RNN , ANN , LSTM , GRU , Transformers →LLMs → Prompting → Embeddings → RAG → Tool Calling → Agents → Evaluation → Fine-tuning Now I don’t want to just move on to the next topic and forget everything I learned. For the next 4 months, I’m going to revise in public here on X and Create projects Every day: For 120 days 3 hours → AI revision, projects, experiments, and questions I’ll share what I’m learning, the projects I build, mistakes I make, concepts I revise, and interesting AI-related questions along the way. At the same time, I’ll be actively applying for roles and sharing useful AI/ML/GenAI opportunities whenever I come across them. The job market is tough, and doing everything alone makes it even harder. So if you’re also learning AI, preparing for interviews, building projects, or looking for opportunities in AI, ML/DL, or GenAI — join the journey. Let’s build, revise, apply, and help each other improve. 🚀 Day 1/120.
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Day 34/120 — AI Engineering Revision 🚀 >6-hour timelapse >Completed Deep Learning + built a project >Covered LSTM, CNN, RNN, etc.» The video might not be completely uniform because my damn phone keeps stopping the recording again and again 😭
Day 33 / 120 AI engineering revision > 3 hour timelapse > Completed CNN Project : github.com/VaibhavLab/CNN_Mi… Ye kya ker rha ho sab log yrr 😭❓ Sab kee sab "let's connect" post daal rhe ho 😭😭
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real 😭
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Vay🎗️ retweeted
Interviewer : where do you see yourself in 5 Years ? me :
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Turns out the final boss was becoming a carpenter. 🪚😭
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real 😭
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Day 33 / 120 AI engineering revision > 3 hour timelapse > Completed CNN Project : github.com/VaibhavLab/CNN_Mi… Ye kya ker rha ho sab log yrr 😭❓ Sab kee sab "let's connect" post daal rhe ho 😭😭
Day 32 / 120 — AI Engineering Revision > 2-hour timelapse > Studied CNN I studied CNN after such a long time that it started going over my head, and the YouTube Music recommendations were really good. 😭 So I couldn’t focus that much today.
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I still can’t get over this legendary cousin duo.😭
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Do you want larping ?
Faang is Dead Now we have LARPING 😭
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Aren't you in tech ? Let's connect ☺️
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Faang is Dead Now we have LARPING 😭
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Unpopular opinion : @thsottiaux and @poteto should get married . ( rivalry-to-lovers story 😋)
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I still can’t get over this legendary cousin duo.😭
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Guys this is revolutionary, check out
I think this is the part of AI people are underestimating. We keep talking about smarter models , bigger context window , better benchmarks etc. but if an AI can actually notice your tone , expressions , pauses and reactions while you're talking to it , the whole interaction changes . Griffin feels less like "talking to chatbot" and more like the beginning of AI that can actually read the room.
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I think this is the part of AI people are underestimating. We keep talking about smarter models , bigger context window , better benchmarks etc. but if an AI can actually notice your tone , expressions , pauses and reactions while you're talking to it , the whole interaction changes . Griffin feels less like "talking to chatbot" and more like the beginning of AI that can actually read the room.
Yesterday we previewed Griffin, a Human Interaction Model capable of seeing, hearing, sounding, and looking like a human does. There have been a lot of questions, so I wanted to take a moment to share our thoughts. By way of introduction: Tavus is a research lab focused on enabling machines to meet us where we are, and to understand the nuances of how we communicate beyond words. Griffin, our latest model, isn’t publicly available yet. Yesterday’s announcement was a limited research preview to demonstrate what the model is capable of. With AI progressing so quickly, we prefer to share breakthroughs openly and in real-time as we work on a safe public release. Face-to-face is how we evolutionarily communicate, it carries the most meaning and intent, and we want computers to be able to help with work that benefits from that emotional understanding, expression, and immersion. Some examples of the kinds of use cases we care deeply about: - A tutor that can build understanding of how a student learns, see exactly when there is confusion or disengagement, and adapt the lesson to fit them. - A health expert that can answer any questions about your upcoming appointment or prescription, at the pace you want, at any time you need, even on a weekend. - A language coach that you can practice speaking with, that can correct your movement and pronunciation, and help build confidence to have real conversations - Or the perfect assistant for everyone, that understands intent, knows how you work and remembers what matters. We’re working with partners on safeguards and systems for disclosure, as well as inviting discussions with officials around wider regulation and safe use. People will always know they’re interacting with AI, while providing an interface that removes the need to ‘speak computer’. We believe in a future where computers understand us well enough to make technology more accessible, more useful, and make us more capable as humans. That is the world we want to build, and we understand the responsibility to do so safely.
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Day 32 / 120 — AI Engineering Revision > 2-hour timelapse > Studied CNN I studied CNN after such a long time that it started going over my head, and the YouTube Music recommendations were really good. 😭 So I couldn’t focus that much today.
Day 31/120 AI engineering revision. > 2 hour timelapse > Completed ANN model training . Check out : github.com/AIatMeta/ANN_Proj… ( This is my bot id ) Next day CNN
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