“Mastering NLP From Foundations to Agents” by Lior Gazit and Meysam Ghaffari, from @PacktPublishing @PacktDataML http://
amzn.to/4nJrLw4 Learn this:
•Engineer NLP systems from ML foundations to LLM architectures
•Implement RAG pipelines, routing layers, and agent
AI
-
Mastering NLP book: from ML foundations to LLM agents and RAG pipelines
By
–
-
Mastering PyTorch book covering deep learning from CNNs to LLMs
By
–
"Mastering PyTorch: Create and deploy deep learning models from CNNs to multimodal models, LLMs, and beyond" – http://
amzn.to/40IFEQR via @PacktDataML —————
#AI #ML #MachineLearning #DataScience #DataScientist -
Disney-OpenAI deal collapses, Netflix buys AI startup, A24+Google partners
By
–
Why now? Disney's OpenAI deal collapsed when Sora got pulled. Netflix bought an AI startup outright. A24 + Google is a third model: partner, co-build, library locked.
-
The Core of AI Agent: Context, Harness, and Loop
By
–
这个讲得非常好，推荐大家看一下这个视频。
— 艾略特 (@elliotchen100) 23 juin 2026
很多人做 AI 还停在“怎么写 prompt”，但 Agent 真正能开始干活，是从 context、harness 到 loop 这一整套东西接起来：知道什么、能用什么、怎么判断下一步、怎么反复推进。
把这几个概念串起来看，很多 AI 产品的差距就很清楚了。 https://t.co/vrKCKQ5jvcThis is very well said. I recommend everyone to watch this video. Many people working on AI are still stuck on 'how to write prompts', but an Agent can truly start working only when the whole set of things from context, harness, to loop are connected: knowing what, being able to use what, how to judge the next step, how to iteratively advance. By linking these concepts together, the gaps between many AI products become clear.
-
AI saves 45-year-old man’s life, Nature Medicine reports
By
–
When AI led to saving a 45-year-old man's life https://
nature.com/articles/s4159
1-026-04454-y
… @NatureMedicine @PierreEliasMD gift link https://
nytimes.com/2026/06/22/hea
lth/artificial-intelligence-heart-damage.html?unlocked_article_code=1.sVA.81O7.BeAdEk_3oOLn&smid=url-share
… -
PRISM: New AI Sequence Model Breaks Speed-Expressivity Trade-off
By
–
Can AI sequence models be both expressive and blazingly fast? Researchers from Tencent, Beihang University, and Peking University present PRISM—a new sequence model that breaks the speed-expressivity trade-off. Instead of running slow, step-by-step iterations (like
-
Metaprompting: ET article written a couple months back
By
–
Metaprompting – wrote an ET article on this a couple of months back.
-
Testing AI on classical Japanese kana reading order challenge
By
–
Use Case 6: Classical Japanese Kana Reading Order
— Sakana AI (@SakanaAILabs) 23 juin 2026
It would not be a Sakana AI launch without a uniquely Japanese challenge. Can an AI decipher the chaotic layout of a 400-year-old letter?
We tested whether the models could recover the reading order of "scattered writing"… pic.twitter.com/jMqlujAIAPUse Case 6: Classical Japanese Kana Reading Order It would not be a Sakana AI launch without a uniquely Japanese challenge. Can an AI decipher the chaotic layout of a 400-year-old letter? We tested whether the models could recover the reading order of "scattered writing"
-
AI Models Compete to Write Rubik’s Cube Solver
By
–
Use Case 5: Rubik’s Cube Solver
— Sakana AI (@SakanaAILabs) 23 juin 2026
Can an AI write complex algorithmic solvers from scratch?
We tasked Fugu Ultra and three frontier models with writing a Rubik’s Cube solver in pure Python from a single prompt. No off-the-shelf solving libraries were allowed. We then ran the… pic.twitter.com/7xYsZrbV4UUse Case 5: Rubik’s Cube Solver Can an AI write complex algorithmic solvers from scratch? We tasked Fugu Ultra and three frontier models with writing a Rubik’s Cube solver in pure Python from a single prompt. No off-the-shelf solving libraries were allowed. We then ran the
