مساء الخير ، حصل layoff للتيم بتاعي بالكامل انهارده بسبب خلاف مابين شركتنا و الكلاينت ، ف انا حاليا بدور علي opportunity تانية ك Senior Software Engineer ( Full stack FE heavy) ف لو حد قدامه اي فرصة اكون شاكر جدا جدا
انا مين و بعمل ايه هنا في الثريد ده
شباب التيك صباح الفل💙
بما اني عندي ناس كتير هنا تيك .. هل عندي حد خبرة 5 سنين واشتغل على Alteryx ويكون قوي في ال SQL؟
لو متعرفش ريتويت .. الشغل هيكون في دبي
@Bashmohandes بغض النظر عن الخلاف في موضوع رؤية الهلال، بس مبحبش الfalse dichotomy من عينة: الناس طلعت القمر واحنا بنشوف ندخل الحمام برجلنا الشمال. قليل من هذا وقليل من ذاك ونسدد ونقارب وربك يستعملنا.
Excited to release new repo: nanochat!
(it's among the most unhinged I've written).
Unlike my earlier similar repo nanoGPT which only covered pretraining, nanochat is a minimal, from scratch, full-stack training/inference pipeline of a simple ChatGPT clone in a single, dependency-minimal codebase. You boot up a cloud GPU box, run a single script and in as little as 4 hours later you can talk to your own LLM in a ChatGPT-like web UI.
It weighs ~8,000 lines of imo quite clean code to:
- Train the tokenizer using a new Rust implementation
- Pretrain a Transformer LLM on FineWeb, evaluate CORE score across a number of metrics
- Midtrain on user-assistant conversations from SmolTalk, multiple choice questions, tool use.
- SFT, evaluate the chat model on world knowledge multiple choice (ARC-E/C, MMLU), math (GSM8K), code (HumanEval)
- RL the model optionally on GSM8K with "GRPO"
- Efficient inference the model in an Engine with KV cache, simple prefill/decode, tool use (Python interpreter in a lightweight sandbox), talk to it over CLI or ChatGPT-like WebUI.
- Write a single markdown report card, summarizing and gamifying the whole thing.
Even for as low as ~$100 in cost (~4 hours on an 8XH100 node), you can train a little ChatGPT clone that you can kind of talk to, and which can write stories/poems, answer simple questions. About ~12 hours surpasses GPT-2 CORE metric. As you further scale up towards ~$1000 (~41.6 hours of training), it quickly becomes a lot more coherent and can solve simple math/code problems and take multiple choice tests. E.g. a depth 30 model trained for 24 hours (this is about equal to FLOPs of GPT-3 Small 125M and 1/1000th of GPT-3) gets into 40s on MMLU and 70s on ARC-Easy, 20s on GSM8K, etc.
My goal is to get the full "strong baseline" stack into one cohesive, minimal, readable, hackable, maximally forkable repo. nanochat will be the capstone project of LLM101n (which is still being developed). I think it also has potential to grow into a research harness, or a benchmark, similar to nanoGPT before it. It is by no means finished, tuned or optimized (actually I think there's likely quite a bit of low-hanging fruit), but I think it's at a place where the overall skeleton is ok enough that it can go up on GitHub where all the parts of it can be improved.
Link to repo and a detailed walkthrough of the nanochat speedrun is in the reply.
I’m turning 41, but I don’t feel like celebrating.
Our generation is running out of time to save the free Internet built for us by our fathers.
What was once the promise of the free exchange of information is being turned into the ultimate tool of control.
Once-free countries are introducing dystopian measures such as digital IDs (UK), online age checks (Australia), and mass scanning of private messages (EU).
Germany is persecuting anyone who dares to criticize officials on the Internet. The UK is imprisoning thousands for their tweets. France is criminally investigating tech leaders who defend freedom and privacy.
A dark, dystopian world is approaching fast — while we’re asleep. Our generation risks going down in history as the last one that had freedoms — and allowed them to be taken away.
We’ve been fed a lie.
We’ve been made to believe that the greatest fight of our generation is to destroy everything our forefathers left us: tradition, privacy, sovereignty, the free market, and free speech.
By betraying the legacy of our ancestors, we’ve set ourselves on a path toward self-destruction — moral, intellectual, economic, and ultimately biological.
So no, I’m not going to celebrate today. I’m running out of time. WE are running out of time.