Co-Founder @INDIย โขย 1y
We haven't mastered the skill of finetuning the small models l, and the quality data for fine-tuning is also insufficient. We are working on improving the model
Turning dreams into ...ย โขย 11m
India should focus on fine-tuning existing AI models and building applications rather than investing heavily in foundational models or AI chips, says Groq CEO Jonathan Ross. Is this the right strategy for India to lead in AI innovation? Thoughts?
Hey I am on Medialย โขย 10m
"Just fine-tuned LLaMA 3.2 using Apple's MLX framework and it was a breeze! The speed and simplicity were unmatched. Here's the LoRA command I used to kick off training: ``` python lora.py \ --train \ --model 'mistralai/Mistral-7B-Instruct-v0.2' \ -
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GITAMย โขย 1y
Fine-Tuning: The Secret Sauce of AI Magic! Ever wonder how AI gets so smart? Itโs all about fine-tuning! Imagine a pre-trained model as a genius with general knowledge. ๐ง โจ Fine-tuning takes that genius and hones its skills for a specific task, li
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building hatchup.aiย โขย 7m
OpenAI researchers have discovered hidden features within AI models that correspond to misaligned "personas," revealing that fine-tuning models on incorrect information in one area can trigger broader unethical behaviors through what they call "emerg
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@Techentia MERN & Ne...ย โขย 3m
Day 12 of 60 Explored retargeting strategies in Meta Ads, learned about link-building techniques in SEO, and worked on improving website content flow. Every concept mastered today builds a stronger skill set for tomorrow. #Day12 #60DaysChallenge #D
See MoreAI Deep Explorer | f...ย โขย 9m
"A Survey on Post-Training of Large Language Models" This paper systematically categorizes post-training into five major paradigms: 1. Fine-Tuning 2. Alignment 3. Reasoning Enhancement 4. Efficiency Optimization 5. Integration & Adaptation 1๏ธโฃ Fin
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#freelancerย โขย 5m
The โEntry-Levelโ AI Engineer Job Description of 2025 ๐จ HR today: > โWeโre looking for someone who knows Python, OOP, NumPy, Pandas, SQL, Advanced Excel, Power BI, ALL ML/DL models, every AWS service, LangChain, Docker, Kubernetes, LLM fine-tuning
See MoreWilling to contribut...ย โขย 2m
I fine-tuned 3 models this week to understand why people fail. Used LLaMA-2-7B, Mistral-7B, and Phi-2. Different datasets. Different methods (full tuning vs LoRA vs QLoRA). Here's what I learned that nobody talks about: 1. Data quality > Data quan
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