Rahul

Video games, East Bengal, Chelsea, Machine Learning @ a fmcg

[Rahul @guddur]

Strait of chingrighata finally open.

[Sreyashi Dey @SreyashiDey]

First in my bloodline to see #ChingrihataMetro construction work 😍

[le.hl @0xleegenz]

Walking alone through a foreign city at night and realizing how far you’ve come has to be a top 3 peak moment of all time

[Fabrizio Romano @FabrizioRomano]

🚨 BREAKING: Italy are OUT of the 2026 World Cup.

Third World Cup missed in a row. ❌🇮🇹

[Rahul @guddur]

@naveen_venk Let's gooo! : )

[Rahul @guddur]

@shantanugoel I will prefer reranking + semantics any day but actual data we deal with is shit. And don't have option to train our own embedding, which would solve 90% of issue. Long run much less token costs and better retrieval. But heh!

[Rahul @guddur]

@shantanugoel Yes. But only if your doc are clean. I tried this a memory for a agent I am working on. Failed horribly because the it is getting bs from vector search as it contains lingo that make no sense to the model (bad score).so moved back to this. I guess it work great if self train emb

[Rahul @guddur]

@shantanugoel Another thing I found out building and storing a function by agent itself and write to file. And later recall that function from a function registery. Saves a lot of token on regular tasks. Where you don't have stored procedure/function.

[Rahul @guddur]

@shantanugoel You ideally can have subagent that gets triggered on failure with a job of searching skill and feed tha back to main. Generally very little context bloat here. But again depending on how you are extracting and storing skills. My vector search failed horribly because shit data stc

[Rahul @guddur]

Man it took a lot of effort write those books, codes for training 😌

[Anthropic @AnthropicAI]

We’ve identified industrial-scale distillation attacks on our models by DeepSeek, Moonshot AI, and MiniMax.

These labs created over 24,000 fraudulent accounts and generated over 16 million exchanges with Claude, extracting its capabilities to train and improve their own models.

[Rahul @guddur]

@shantanugoel As a side effect of llm being markdown maniacs the documentation became standardized. Took a few years 😌

[Rahul @guddur]

this is excellent. Training from zero token for indic langauge is huge huge job, cant wait to play with these @SarvamAI
Also need a blog on that tokenizer please 🥺

[Unsloth AI @UnslothAI]

You can now train MoE models 12× faster with 35% less VRAM via our new Triton kernels (no accuracy loss).

Train gpt-oss locally on 12.8GB VRAM.

In collab with @HuggingFace, Unsloth trains DeepSeek, Qwen3, GLM faster.

Repo: https://t.co/2kXqhhvLsb
Blog: https://t.co/HY6DwTnCwl

[Neil Zeghidour @neilzegh]

Me defending my O(n^3) solution to the coding interviewer.

[Rahul @guddur]

@IndiGo6E wasn't the flight fare was capped by going. Or you got an extention that @DGCAIndia

[Rahul @guddur]

@MOO_THE_COW_MOO @Battlefield A copy of the game!

[Anthropic @AnthropicAI]

We disrupted a highly sophisticated AI-led espionage campaign.

The attack targeted large tech companies, financial institutions, chemical manufacturing companies, and government agencies. We assess with high confidence that the threat actor was a Chinese state-sponsored group.

[elie @eliebakouch]

Training LLMs end to end is hard. Very excited to share our new blog (book?) that cover the full pipeline: pre-training, post-training and infra. 200+ pages of what worked, what didn’t, and how to make it run reliably

https://t.co/iN2JtWhn23

[Rahul @guddur]

@ICICIBank_Care how can suddenly the account type and status can be changed, without informing the customer. How do you even manage this