This site uses cookies to improve your experience. To help us insure we adhere to various privacy regulations, please select your country/region of residence. If you do not select a country, we will assume you are from the United States. Select your Cookie Settings or view our Privacy Policy and Terms of Use.
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Used for the proper function of the website
Used for monitoring website traffic and interactions
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Strictly Necessary: Used for the proper function of the website
Performance/Analytics: Used for monitoring website traffic and interactions
The AI “stack” has emerged with Large Language Models and other important models (like audio, imagery, video, etc) operating in the cloud with well-documented and supported APIs that are available to developers to build on. Let’s start with Artificial intelligence (AI) which was the big event in 2023. This is a big deal.
ChatGPT might call a web search tool to read a blog post I’d like to summarized. Gemini might call a tool to find the latest stock price of the most recent IPO I’ve been following. I still follow the same research sequence, but now Gemini & ChatGPT handle the summarization.
Its performance on benchmarks is within a few points of models like OpenAI o3 and o4-mini, DeepSeek R1 , Google Gemini 2.5 APIs Various Qwen3 models are available as an API through a number of services, including Alibaba Cloud Model Studio , OpenRouter , and Lambda. It has a 128K token context length.
Although Copilot supports OpenAI, Claude, and Gemini, Cursor natively supports more models, including OpenAI, Claude, Gemini, Grok, and DeepSeek, offering more flexibility. (In In both, you get to choose the model you work with—and you can even use custom API keys to access preferred models for some features.)
Turbo through the company’s API can make the model better follow specific instructions. Most notably, fine-tuning enables OpenAI customers to shorten text prompts to speed up API calls and cut costs. We’re very excited for the impact they’ll have here at OpenAI,” OpenAI wrote in a brief post published to its official blog.
We organize all of the trending information in your field so you don't have to. Join 24,000+ users and stay up to date on the latest articles your peers are reading.
You know about us, now we want to get to know you!
Let's personalize your content
Let's get even more personalized
We recognize your account from another site in our network, please click 'Send Email' below to continue with verifying your account and setting a password.
Let's personalize your content