Grape @_glary
Joined November 2015-
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Must knows for any developers in AI
4 strategies LLMs use to generate text:
What exactly is a vector index, and why does it matter for your database performance? As databases grow larger, searching through millions or billions of vectors can become painfully slow. A vector index is designed to solve this problem by making smart trade-offs between search…
Literally all the resources you need to be a cracked ML/LLM engineer (coming from someone learning ML rn) >unsloth documentation >vLLM documentation (goated) >HF TEI docs (worth reading) >GPU glossary I wish I started with these a month ago. Expect much better ML content from…
Different types of probability distribution
Interesting! Hai Huang, @ylecun , and @randall_balestr have just proposed LLM-JEPA. It's the first JEPA-style training framework for language models, bridging the gap between vision’s embedding-space objectives and NLP’s generative ones. Results: - Outperforms standard LLM…
Sometimes I think how crazy it is that I started this account with this single image. And how much has changed over the 9 months or so. I am truly grateful for everyone who likes, retweets, comments on whatever I post. It has helped in ways I cannot describe!
If I had to learn Math for Machine Learning from scratch in 2025, this is the roadmap I would follow:
Softmax isn't magic. It's just a soft version of argmax, and it naturally arises when you want to be smart but not overconfident. Let’s derive it step by step. (No deep math needed, just a bit of calculus and curiosity.)
Beginner-friendly LLM course exploring foundations, architectures, training, deployment, and current trends: bit.ly/47iexAz v/@Hesamation
Updated & turned my Big LLM Architecture Comparison article into a narrated video lecture. The 11 LLM architectures covered in this video: 1. DeepSeek V3/R1 2. OLMo 2 3. Gemma 3 4. Mistral Small 3.1 5. Llama 4 6. Qwen3 7. SmolLM3 8. Kimi 2 9. GPT-OSS 10. Grok 2.5 11. GLM-4.5
When you store your knowledge and skills as parametric curves (as all deep learning models do), the only way you can generalize is via interpolation on the curve. The problem is that interpolated points *correlate* with the truth but have no *causal* link to the truth. Hence…
Excited to teach Advanced NLP at CMU again this semester! Slides are on the course page as the course proceeds: cmu-l3.github.io/anlp-fall2025/ Lectures will be uploaded to Youtube: youtube.com/playlist?list=…
YOUTUBE is the world’s largest FREE university. But most people waste it on entertainment. Here are 10 CHANNELS that can teach you AI/ML better than college.
OpenAI published their official prompting guide for GPT-5. Master these 6 critical prompting techniques: 1. Be precise and avoid conflicting information ↳ GPT-5 models are significantly better at instruction following ↳ But they can struggle with vague or conflicting…
Gemini 2.5 Flash Image (Nano Banana) best practices 🍌🍌🍌 - Be hyper-specific: The more detail you provide, the more control you have. Instead of "fantasy armor," describe it "ornate elven plate armor, etched with silver leaf patterns, with a high collar and pauldrons shaped…
When a model gives you the right answer to a reasoning question, you can't tell whether it was via memorization or via reasoning. A simple way to tell between the two is to tweak your question in a way that 1. changes the answer, 2. requires some reasoning to adapt to the…
I'll take the other side of this bet...
I'll take the other side of this bet...
In general there are two different kinds of methodology to produce progress in any science or engineering field... both are important and can lead to transformative progress. There's the "Edison way" where you brute-force a large predefined design space and you keep what works,…
In general there are two different kinds of methodology to produce progress in any science or engineering field... both are important and can lead to transformative progress. There's the "Edison way" where you brute-force a large predefined design space and you keep what works,…
Lightning.ai helped me save time building AI solutions with powerful persistent storage, seamless GPU marketplaces, and access to many LLM model APIs. @LightningAI lightning.ai
nana🦄 @ds_nana_
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ชาครี พ�... @ChakriHopHop
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Pliny the Liberator �... @elder_plinius
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TestingCatalog News �... @testingcatalog
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568K Followers 210 Following The AI community building the future. https://t.co/VkRPD0Vclr
Andrew Ng @AndrewYNg
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τØxblock :~/🦅 @t0xblock
6K Followers 2K Following 👨💻 I love Linux open-source software. “ทุกทวิตไม่ใช่คำแนะนำการลงทุน โปรดศึกษาด้วยตนเองก่อนตัดสินใจ” โปรด DYOR ☕️ Join Private group ทัก DM มาเลยครับ(ไม่ฟรี)
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