GPT-4.1 API Tutorial: Explore OpenAI's NEW Models (Mini, Nano, 1M Tokens!)

Shane | LLM Implementation ยท Beginner ยท๐Ÿง  Large Language Models ยท1y ago
๐Ÿš€ Unlock the power of OpenAI's latest GPT-4.1 models! Learn how the new API featuring GPT-4.1, GPT-4.1 mini & GPT-4.1 nano (with 1 Million token context!) revolutionizes coding, context handling, and cost efficiency. Get started with the API and Playground today! In this video, we break down the exciting updates to the OpenAI model lineup. โฑ๏ธ TIMESTAMPS / CHAPTERS: 0:00 Introduction to GPT-4.1 0:17 What's New: Overview of the GPT-4.1 family (Mini, Nano included!) 0:24 Key Features: Coding, Instruction Following, 1M Context, Knowledge Cutoff 0:41 Performance Boost: Coding (SWE-bench +21.4%) 2:54 Performance Boost: Instruction Following (MultiChallenge +10.5%) 3:36 Performance Boost: Long Context & Video (Video-MME +6.7%) 5:45 Model Deep Dive: GPT-4.1 Mini (vs GPT-4o) 6:24 Model Deep Dive: GPT-4.1 Nano (Fast & Cheap) 6:32 Pricing Update: Cost Comparison & Prompt Caching Discount 7:29 How to Use: OpenAI Playground Demo 8:18 How to Use: Python API Tutorial (Google Colab) This video covers: * Major improvements in coding benchmarks (SWE-bench). * Enhanced instruction following capabilities (MultiChallenge). * Massive 1 Million token context windows. * A June 2024 knowledge cutoff. * Deep dives into GPT-4.1 Mini and Nano, comparing speed, cost, and intelligence. * Updated pricing details (26% cheaper median than GPT-4o) and the new prompt caching discount. * How to access and use the models via the Playground and the Python API. This video is perfect for developers using the OpenAI API, AI researchers, and anyone interested in the cutting edge of large language models (LLMs). See how these new models push the boundaries! ๐Ÿ”— Relevant Links: OpenAI Announcement: https://openai.com/index/gpt-4-1/ OpenAI API Documentation: https://platform.openai.com/docs/api-reference/chat/create?lang=python OpenAI Playground (GPT-4.1 Mini example): https://platform.openai.com/docs/models/gpt-4.1-mini SWE-bench: https://www.swebench.com/#verified MultiChallenge Benchmark:
Watch on YouTube โ†— (saves to browser)
Sign in to unlock AI tutor explanation ยท โšก30

Related AI Lessons

โšก
Anthropic's One-Sentence Prompt Broke Claude's Coding for Days
A single sentence prompt caused a collapse in Claude's coding performance, taking 4 days to fix, highlighting the fragility of AI systems
Dev.to AI
 โšก
DeepSeek-V4 Ported to MLX for Apple Silicon Inference
Run DeepSeek-V4 on Apple Silicon Macs using MLX framework for optimized inference
Dev.to AI
 โšก
Big Tech firms are accelerating AI investments and integration, while regulators and companies focus on safety and responsible adoption.
Big Tech firms are investing heavily in AI, driving growth and transformation, while prioritizing safety and responsible adoption
Dev.to AI
 โšก
A Smaller KV Cache Did Not Make Transformers Faster
Reducing KV cache size doesn't necessarily speed up Transformers, and understanding cache dynamics is crucial for optimization
Dev.to ยท Alankrit Verma

Chapters (11)

Introduction to GPT-4.1
0:17 What's New: Overview of the GPT-4.1 family (Mini, Nano included!)
0:24 Key Features: Coding, Instruction Following, 1M Context, Knowledge Cutoff
0:41 Performance Boost: Coding (SWE-bench +21.4%)
2:54 Performance Boost: Instruction Following (MultiChallenge +10.5%)
3:36 Performance Boost: Long Context & Video (Video-MME +6.7%)
5:45 Model Deep Dive: GPT-4.1 Mini (vs GPT-4o)
6:24 Model Deep Dive: GPT-4.1 Nano (Fast & Cheap)
6:32 Pricing Update: Cost Comparison & Prompt Caching Discount
7:29 How to Use: OpenAI Playground Demo
8:18 How to Use: Python API Tutorial (Google Colab)
Up next
5 Levels of AI Agents - From Simple LLM Calls to Multi-Agent Systems
Dave Ebbelaar (LLM Eng)
Watch โ†’