This tutorial walks you through registering on OpenAI, installing required Python packages, setting up API keys, and writing a Jupyter Notebook that defines a chat function and an interactive loop to create a functional GPT‑3.5 chatbot.
The article announces the GPT‑3.5 Turbo API, highlights its ten‑fold lower price of $0.002 per 1k tokens, explains the new chat‑completion format with messages, and provides a practical Node.js example along with various application ideas.
This article dissects how ChatGPT acquired its surprising capabilities by tracing the evolution from the original GPT‑3 model through instruction tuning, code‑based pre‑training, and reinforcement learning from human feedback, ultimately presenting a comprehensive technical roadmap for reproducing GPT‑3.5‑scale models.
A recent Stanford paper shows that GPT‑3.5 and its predecessor can pass classic Theory of Mind tests at levels comparable to 7‑9‑year‑old children, sparking debate over whether these abilities are genuine understanding or emergent by‑products of scaling.
This article examines how OpenAI's GPT‑3.5 series evolved from the original GPT‑3 through large‑scale pre‑training, instruction tuning, code training, and RLHF, detailing the origins of language generation, world knowledge, in‑context learning, code understanding, complex reasoning, and the trade‑offs introduced by alignment.
This article analyses how ChatGPT and the GPT‑3.5 series evolved from the original GPT‑3 through large‑scale pre‑training, code‑based training, instruction tuning, and reinforcement learning from human feedback, identifying the origins of their language generation, in‑context learning, world knowledge, code understanding, chain‑of‑thought reasoning, and alignment capabilities while also outlining current limitations.
This article analyses how OpenAI’s ChatGPT evolved from the original GPT‑3 model, tracing the emergence of language generation, world knowledge, in‑context learning, code training, instruction tuning, and reinforcement learning from human feedback, and highlights both its strengths and current limitations.
After experimenting with ChatGPT, the author investigates OpenAI’s history, its open‑source initiatives like Gym, Whisper, DALL·E, and GPT, and concludes that, despite past openness, ChatGPT is unlikely to become open‑source, offering insights into the company’s commercial direction.
