@khen.chandat: 🔒lock in#fyp #xuhuong #cleanboyaesthetic #outfits

KENNY 1m75

Open In TikTok:

Region: VN

Sunday 27 September 2026 08:09:40 GMT

371

8

0

0

Music

Download

No Watermark .mp4 (1.77MB) Watermark .mp4 (0MB) Music .mp3

Comments

There are no more comments for this video.

To see more videos from user @khen.chandat, please go to the Tikwm homepage.

Other Videos

@M·A·C Cosmetics x @ALICE STENLÖF

@M·A·C Cosmetics x @ALICE STENLÖF

#4u #fy

AI for Beginners #11: what is fine-tuning? 🎯 Episode 1: LLMs. Episode 2: tokens. Episode 3: prompts. Episode 4: APIs. Episode 5: AI agents. Episode 6: temperature. Episode 7: context windows. Episode 8: embeddings. Episode 9: hallucinations. Episode 10: RAG. Today: fine-tuning, teaching a model your task with examples. • IBM: fine-tuning is the process of adapting a pre-trained model for specific tasks or use cases. It's easier and cheaper than training a new model from scratch. • Google Cloud: start with prompting to find the best prompt, then move to fine-tuning if needed to boost performance or fix recurring errors. Fine-tuning works best when you have labeled data (think 100 examples or more) and the task is too complex for prompting alone. • How it works (OpenAI supervised fine-tuning): build a dataset of example prompts and good answers in JSONL, upload it, create a fine-tuning job on a base model, then evaluate the result. The minimum is 10 examples; OpenAI recommends starting with 50 well-crafted ones. • Why bother? Shorter prompts with fewer examples save tokens and can cut latency, and a small, cheaper model can be trained to do one task well. • The cheap way: parameter-efficient methods like LoRA keep the original weights frozen and train two small matrices of updates instead, which speeds up tuning and needs less memory. • Heads up: OpenAI is winding down its fine-tuning platform. It's closed to new users, and eligible existing customers can create training jobs until January 6, 2027. Sources: IBM Think,

AI for Beginners #11: what is fine-tuning? 🎯 Episode 1: LLMs. Episode 2: tokens. Episode 3: prompts. Episode 4: APIs. Episode 5: AI agents. Episode 6: temperature. Episode 7: context windows. Episode 8: embeddings. Episode 9: hallucinations. Episode 10: RAG. Today: fine-tuning, teaching a model your task with examples. • IBM: fine-tuning is the process of adapting a pre-trained model for specific tasks or use cases. It's easier and cheaper than training a new model from scratch. • Google Cloud: start with prompting to find the best prompt, then move to fine-tuning if needed to boost performance or fix recurring errors. Fine-tuning works best when you have labeled data (think 100 examples or more) and the task is too complex for prompting alone. • How it works (OpenAI supervised fine-tuning): build a dataset of example prompts and good answers in JSONL, upload it, create a fine-tuning job on a base model, then evaluate the result. The minimum is 10 examples; OpenAI recommends starting with 50 well-crafted ones. • Why bother? Shorter prompts with fewer examples save tokens and can cut latency, and a small, cheaper model can be trained to do one task well. • The cheap way: parameter-efficient methods like LoRA keep the original weights frozen and train two small matrices of updates instead, which speeds up tuning and needs less memory. • Heads up: OpenAI is winding down its fine-tuning platform. It's closed to new users, and eligible existing customers can create training jobs until January 6, 2027. Sources: IBM Think, "What is fine-tuning?": ibm.com/think/topics/fine-tuning Google Cloud, "Introduction to tuning": cloud.google.com/vertex-ai/generative-ai/docs/models/tune-models OpenAI, "Supervised fine-tuning": platform.openai.com/docs/guides/supervised-fine-tuning OpenAI, "Model optimization": platform.openai.com/docs/guides/model-optimization Try a better prompt before you fine-tune. AtmoRouter is the cheapest AI API gateway: one OpenAI-compatible endpoint for 100+ models, up to 95% off official price 👉 atmorouter.dev Follow for the next episode of AI for Beginners. #AI #AIforBeginners #FineTuning #LLM #LoRA #MachineLearning #LearnAI #Developer #AtmoRouter #GenerativeAI

Waitttt a minute

Waitttt a minute

Bilkul /// ❤️🤍#estic_wolf #urduline #linemotion #poetry #poetry @TikTok

Bilkul /// ❤️🤍#estic_wolf #urduline #linemotion #poetry #poetry @TikTok

Phần 228: Yamaha Mxking150 nhập indo Đen cam siêu đẹp- hỗ trợ ae góp - ship xe toàn quốc- giao lưu bù trừ #yamaha #xedovietnam #mxking150 #mxkingindonesia #xuhuong

Phần 228: Yamaha Mxking150 nhập indo Đen cam siêu đẹp- hỗ trợ ae góp - ship xe toàn quốc- giao lưu bù trừ #yamaha #xedovietnam #mxking150 #mxkingindonesia #xuhuong

About

Robot
API

Legal

Privacy Policy