Sehar

Used to play cricket on a national level, have played U-17 and U-19 tournaments. Tweets are mostly about AI, science, and cricket. Cricket and chess are love.

[Jami @expertwith_AI]

All Paid Courses (Free for First 4500 People)

𝗣𝗮𝗶𝗱 𝗖𝗼𝘂𝗿𝘀𝗲 𝗙𝗥𝗘𝗘 (PART - 1)
1. Artificial Intelligence
2. Machine Learning
3. Prompt Engineering
4. Claude,Chatgpt,Grok
5. Data Analytics
6. AWS Certified
7. Data Science
8. BIG DATA
9. Python
10. Ethical Hacking

(72 Hours only )

Like + RT + comment ' Drive '

Must Follow me so I can DM you.

[Sehar @CoSehrm]

@expertwith_AI Drive

[Goshawk Trades @GoshawkTrades]

https://t.co/zY22h11YCE

[Srishti @srishticodes]

I spent 6 months (learning) AI.

This one Github repo could've saved me 5.

Here's what's inside:

Foundation → Advanced
→ Language model basics
→ Tokens and embeddings
→ Transformer architecture explained
→ Text classification techniques

Real-World Applications
→ Semantic search systems
→ RAG implementation guide
→ Prompt engineering mastery
→ Multimodal LLM usage

Build Your Own
→ Create embedding models
→ Fine-tune BERT yourself
→ Train generation models
→ Deploy production systems

Written by Jay Alammar.
Endorsed by Andrew Ng.

No theory overload.
Just practical building.

Repo: https://t.co/PIDKxRZBug

Save for later.
Repost for AI builders.

Check my profile for more resources on AI

[Srishti @srishticodes]

Most beautiful code I have seen shared in public recently.

Built by Andrej Karpathy - single file of 200 lines of pure Python with no dependencies that trains and inferences a GPT. This is how it should be taught to everyone trying to get into learning LLMs.

This might be the cleanest, most elegant public code drop in AI this year.
Karpathy's new "art project": microgpt (https://t.co/itMLfmOu5l)

→ Single Python file (~200 lines)
→ No PyTorch, no NumPy, no external libraries at all
→ Full working GPT: data loading → character tokenizer → tiny autograd engine → GPT-2-style transformer → Adam optimizer → training loop → inference/sampling

It's the bare-metal essence of what makes large language models tick - everything else (CUDA kernels, distributed training, mixed precision, flash attention, massive datasets…) is optimization & engineering around this core.

Perfect starting point for anyone trying to truly understand LLMs instead of just calling APIs.

Highly recommend reading + running it. Changes how you see "AI is just matrix multiplies + softmax" from abstract → concrete.

[Sehar @CoSehrm]

@clintveinot Math

[Sehar @CoSehrm]

@NoahEpstein_ Theif

[Sehar @CoSehrm]

@mischavdburg interested

[Sehar @CoSehrm]

@georgesttock 11

[Sehar @CoSehrm]

Wow crazy spell!! #siraj #INDvSL

[Johns. @CricCrazyJohns]

The GOAT spell.

- 4 wickets by Siraj in a single over.

[Sehar @CoSehrm]

💔💔

[Sehar @CoSehrm]

Shaheen you beauty!!!
#pakvsind @TheRealPCB

[Sehar @CoSehrm]

White to win, black to move.
#Chess #chesspunks @chesscom @FIDE_chess #NorwayChess

[Cyril Zakka, MD @cyrilzakka]

Thrilled to announce Almanac Chat, a new multi-institutional research collaboration to explore the potential uses and limitations of large multimodal language models for clinical medicine!

Find out more: https://t.co/XVu2FI1qCj

[Maria Popova @themarginalian]

“In a world full of people who seem to know everything, passionately, based on little (often slanted) information... what a relief it is to be in the company of someone confident enough to stay unsure (that is, perpetually curious).” https://t.co/MmkRMjpy6q

[Umar Ahmad (@[email protected]) @babasaraky]

#Bioinformatics workflow for #human whole #genome sequencing (WGS) analysis: A thread

[Maria Popova @themarginalian]

"Those moments when a new question rises up in us, stops us in our tracks – those are possibilities." @kristatippett #TED2023

[Tress Academic @TressAcademic]

The challenging thing about #research is to explore the ever-changing unknown.

#research #academia #phdresearch #academictwitter #phdchat

[Matt Dancho (Business Science) @mdancho84]

Here's a shortlist of AI tools to help data scientists with... 🧵

#datascience #rstats #python