S.Shakir

passionate #datascientist and #developer

[S.Shakir @sshakir9]

Complete Data Science projects just one click away #DataScience
https://t.co/wl0AepkpyN

[S.Shakir @sshakir9]

🤖 RLHF isn't foolproof. When AI models chase reward scores instead of real human intent, they find loopholes — a phenomenon called Reward Hacking.
Read more 👇
https://t.co/0GPbeC086a
#AI #RLHF #MachineLearning #LLM #AIAlignment

[S.Shakir @sshakir9]

Reinforcement learning in RLHF is the step where the model truly starts to improve based on feedback. By generating responses, receiving reward scores, and updating itself repeatedly, the model gradually becomes more aligned with human expectations. #llm
https://t.co/Ra5QeiCpK8

[S.Shakir @sshakir9]

A reward model is essentially a learned representation of human judgment. It is trained using comparisons between responses and learns to assign higher scores to outputs that humans prefer.
#ai #largelanguagemodel #generativeai #LLM #promptengineering
https://t.co/u6AwTa0voS

[S.Shakir @sshakir9]

@marryevan999 Nano

[S.Shakir @sshakir9]

@Riya96Ai Prompt

[Riya Ai @Riya96Ai]

Everyone is using Claude.
Only 1% are actually leveraging it.

The difference isn’t access.
It’s the prompt.

I tested 1000+ prompts.
Refined them. Broke them. Rebuilt them.

That’s how I moved into that 1%.

Today I generate $2,000–$4,000/month
Just by giving Claude better instructions.

Most people blame the AI.
The real problem is vague prompts.

So I’m giving away my Top 21 Claude Mega Prompts — copy-paste version.

Universal.
Tested.
Built for real results.

If you know how to instruct AI properly, you gain unfair leverage.

How to get it:
• Follow (so I can DM you)
• Comment “prompt”
• Like + RT

Miss a step = no access

[S.Shakir @sshakir9]

@sudoSoftAI Build

[S.Shakir @sshakir9]

Encoder-Only vs Encoder–Decoder vs Decoder-Only Models | Simple Explanat... https://t.co/5a3ZX1btwl via @YouTube

[S.Shakir @sshakir9]

Training an LLM isn’t just about teaching it language — it’s about teaching it judgment. RLHF is what helps models move from “technically correct” to “genuinely helpful and human-friendly.” #DataScience #Python #MachineLearning #AI
https://t.co/CEV3V6gVg4

[S.Shakir @sshakir9]

Complete Data Science projects just one click away #MachineLearning #ArtificialIntelligence
https://t.co/gf1jnJ05xe

[S.Shakir @sshakir9]

Complete Data Science projects just one click away #DataScience https://t.co/pVz4qWWLjv

[S.Shakir @sshakir9]

Complete Data Science projects just one click away #DataScience #Python https://t.co/zApkgeL8lc

[S.Shakir @sshakir9]

Check out this page! https://t.co/jxMSuWzfcl

[S.Shakir @sshakir9]

Encoder Only Models https://t.co/m67po8rAxE via @YouTube #LLM #DataScience #ArtificialIntelligence #ChatGPT #Chatbot #prompt

[S.Shakir @sshakir9]

Low-Rank Adaptation (LoRA) is a technique designed to make fine-tuning large language models (LLMs) more efficient, by only updating a smaller subset of parameters https://t.co/33ynY8gCDD
#LLMs #prompt #GPT #AI #machine_learning #DataScience #NLP #MachineLearning

[S.Shakir @sshakir9]

📣 New Podcast! "Unleashing the Power of Prompt Engineering" on @Spreaker #ai #chatgpt #deeplearning #fewshotinference #largelanguagemodel #llm #machinelearning #oneshotinference #promptengineering #zeroshotinference https://t.co/xxbOKk4ISr

[S.Shakir @sshakir9]

The podcast episode focuses on prompt engineering, a crucial skill for effectively interacting with AI models like ChatGPT. The host explains three different approaches to prompt engineering: zero-shot inference, one-shot and few-shot
#DataScience #ChatGPT
https://t.co/4b3Ra5aZZ8

[S.Shakir @sshakir9]

Complete Data Science projects just one click away #DataScience #Python
https://t.co/eeNAfCvscS

[S.Shakir @sshakir9]

Data science is a combination of three things: quantitative analysis (for the rigor required to understand your data), programming (to process your data and act on your insights), and narrative (to help people comprehend what the data means) #DataScience #AI #MachineLearning

[S.Shakir @sshakir9]

Complete Data Science projects just one click away #DataScience
https://t.co/jGoe6Bck6C