Phil Schmid AI education profile

Guides, skills, and tools from Phil Schmid

Model catalog

Hugging Face model hub

Beginner to advanced

You need to discover, compare, and run open model checkpoints, datasets, and demos.

Learner questions

Who should learn from Phil Schmid?

Developers fine-tuning and deploying models should start here when they need open models, fine-tuning, deployment, and transformers. The strongest fit is a learner who wants material in these formats: tutorials, code, guides.

What should I do first?

Pick one fine-tuning or inference guide and reproduce it end to end. After that, open one related resource below and write down the exact workflow, concept, or implementation pattern you want to apply.

What problem does this help with?

Hands-on guides for fine-tuning, serving, and using open-source models with Hugging Face tooling. Use this profile when you are comparing educators by topic, level, format, and practical usefulness rather than browsing random AI content.

How do I compare this with other educators?

Compare the skill coverage, the starting recommendation, the educator's own resources, and any videos when available. If you need open models, search the directory for that skill and shortlist three profiles before committing to a course, book, or playlist.

More related resources

Resource	Kind	Level	Use when
The Illustrated Transformer Jay Alammar	Visual guide	Beginner to intermediate	Transformer architecture still feels fuzzy.
OpenAI model optimization OpenAI	Guide	Intermediate	You need a practical optimization loop across prompt changes, evals, and fine-tuning rather than guessing which knob to turn next.
Llama API models Meta Llama	Model docs	Beginner to advanced	You need the current official Llama model catalog, capability summaries, and API access route before choosing hosted or local deployment.
Mistral models overview Mistral AI	Model docs	Beginner to advanced	You need to compare current Mistral families such as Devstral, Magistral, Voxtral, OCR, and general-purpose models.
Qwen API platform Qwen	API docs	Beginner to advanced	You need official Qwen model-family context, deployment docs, and quickstarts before choosing a hosted or local workflow.
Together AI model catalog Together AI	Model catalog	Beginner to advanced	You need to browse hosted open and proprietary models by provider and capability.
Together AI serverless models Together AI	Model docs	Intermediate	You need to learn how serverless hosted model inference works before deploying an app.
Llama Cookbook Meta Llama	GitHub repo	Beginner to advanced	You want Meta's practical recipes for inference, fine-tuning, RAG, and end-to-end Llama applications.
Mistral model selection guide Mistral AI	Guide	Beginner to advanced	You want Mistral's official comparison of model families, pricing, context, and licensing before implementation.
Qwen quickstart Qwen	Quickstart	Beginner to intermediate	You want the fastest official route into running Qwen3 with Hugging Face, vLLM, or SGLang.
Made With ML Made With ML	Free course	Intermediate	You need production ML habits that transfer to AI systems.
DataTalks.Club ML Zoomcamp DataTalks.Club	Free cohort course	Beginner to intermediate	You want a structured free path into ML engineering.

Phil Schmid

Courses and tutorials

Hugging Face Agents Course

Hugging Face LLM Course

Hugging Face smol-course

Hugging Face LLM tutorials

Videos from Phil Schmid

Hugging Face Agents Course

Skills

Guides, skills, and tools from Phil Schmid

Hugging Face model hub

Learner questions

Who should learn from Phil Schmid?

What should I do first?

What problem does this help with?

How do I compare this with other educators?

Similar videos from other educators

Hugging Face agents course

Full Stack Deep Learning lecture

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