Hamel Husain hamelsmu

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Modern web applications in pure Python

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Practical Deep Learning for Coders

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Practical Deep Learning

Practical Deep Learning

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The First Certificate in Deep Learning

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Your AI Product Needs Evals

LLMs

How to construct domain-specific LLM evaluation systems.

Hamel Husain

Structured Outputs

Introduction

JSON is one of the most widely used formats in the world for applications to exchange data.

Structured Outputs is a feature that ensures the model will always generate responses that adhere to your supplied JSON Schema, so you don't need to worry about the model omitting a required key, or hallucinating an invalid enum value.

Some benefits of Structed Outputs include:

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Cracking the C-suite 'How to Get and Master Key Executive Roles'

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	from html2text import HTML2Text
	from textwrap import dedent
	import re

	def get_md(cts, extractor='h2t'):
	h2t = HTML2Text(bodywidth=5000)
	h2t.ignore_links,h2t.mark_code,h2t.ignore_images = (True,)*3
	res = h2t.handle(cts)
	def _f(m): return f'```\n{dedent(m.group(1))}\n```'
	return re.sub(r'\[code]\s\n(.?)\n\[/code]', _f, res or '', flags=re.DOTALL).strip()

	def follow_user_follows(client, target_user):
	"Follow everyone the target_user is following."

	cursor = None
	total_followed = 0

	while True:
	# Step 1: Fetch a batch of accounts the target user is following
	# https://docs.bsky.app/docs/api/app-bsky-graph-get-follows
	response = client.app.bsky.graph.get_follows({