Skip to main content

OpenAI announces new models and API updates

OpenAI has made a number of announcements today, including the release of two new embedding models, new GPT-4 Turbo and moderation models, and new API usage management tools. 

According to OpenAI, “an embeddings is a sequence of numbers that represents the concepts within content such as natural language or code.” They make it easier for machine learning models to understand the relationships between content. 

The two new embedding models are the text-embedding-3-small model and the text-embedding-3-large model. Text-embedding-3-small is a highly efficient model that offers improved performance over the previous model (multi-language retrieval benchmark increased from 31.4% to 44% and the English test benchmark increased from 61% to 62.3%). Pricing is also five times lower on this newer model. 

The text-embedding-3-large model can create embeddings that have up to 3072 dimensions, and also offers improved performance when compared to the text-embedding-ada-002 model. 

In addition to introducing these two new models, OpenAI has made improvements to embeddings in general. The new models were trained using a technique that allows developers to shorten embeddings by removing numbers from the end of the sequence without losing concept-representing properties. This enables more flexible use of these models, OpenAI explained.

Moving on to the other updates, GPT-3.5 Turbo and the Moderation API model were updated, along with the GPT-4 Turbo preview. 

Available next week, the updated GPT-3.5 Turbo model has higher accuracy in responding in the requested format, and also will cost 50% less for input tokens and 25% less for output. This update also fixed a bug that was causing issues with text encoding for function calls not in English. 

OpenAI has a Moderation API that is used to identify harmful text so that developers can take action. The company is releasing a new model for use with this API called text-moderation-007, which it says is “our most robust moderation model to-date.”

The GPT-4 Turbo preview has also been updated, with improvements such as more complete code generation and a reduction in the amount of times the model fails to properly complete a task. 

And finally, the last major group of updates is around API management. Developers will now be able to assign permissions to API keys to provide finer access. The usage dashboard and usage export function also now expose metrics on the API key level if tracking is enabled. 

“This makes it simple to view usage on a per feature, team, product, or project level, simply by having separate API keys for each,” OpenAI wrote in a blog post.

The post OpenAI announces new models and API updates appeared first on SD Times.



from SD Times https://ift.tt/jHnGaW9

Comments

Popular posts from this blog

Difference between Web Designer and Web Developer Neeraj Mishra The Crazy Programmer

Have you ever wondered about the distinctions between web developers’ and web designers’ duties and obligations? You’re not alone! Many people have trouble distinguishing between these two. Although they collaborate to publish new websites on the internet, web developers and web designers play very different roles. To put these job possibilities into perspective, consider the construction of a house. To create a vision for the house, including the visual components, the space planning and layout, the materials, and the overall appearance and sense of the space, you need an architect. That said, to translate an idea into a building, you need construction professionals to take those architectural drawings and put them into practice. Image Source In a similar vein, web development and design work together to create websites. Let’s examine the major responsibilities and distinctions between web developers and web designers. Let’s get going, shall we? What Does a Web Designer Do?

A guide to data integration tools

CData Software is a leader in data access and connectivity solutions. It specializes in the development of data drivers and data access technologies for real-time access to online or on-premise applications, databases and web APIs. The company is focused on bringing data connectivity capabilities natively into tools organizations already use. It also features ETL/ELT solutions, enterprise connectors, and data visualization. Matillion ’s data transformation software empowers customers to extract data from a wide number of sources, load it into their chosen cloud data warehouse (CDW) and transform that data from its siloed source state, into analytics-ready insights – prepared for advanced analytics, machine learning, and artificial intelligence use cases. Only Matillion is purpose-built for Snowflake, Amazon Redshift, Google BigQuery, and Microsoft Azure, enabling businesses to achieve new levels of simplicity, speed, scale, and savings. Trusted by companies of all sizes to meet

2022: The year of hybrid work

Remote work was once considered a luxury to many, but in 2020, it became a necessity for a large portion of the workforce, as the scary and unknown COVID-19 virus sickened and even took the lives of so many people around the world.  Some workers were able to thrive in a remote setting, while others felt isolated and struggled to keep up a balance between their work and home lives. Last year saw the availability of life-saving vaccines, so companies were able to start having the conversation about what to do next. Should they keep everyone remote? Should they go back to working in the office full time? Or should they do something in between? Enter hybrid work, which offers a mix of the two. A Fall 2021 study conducted by Google revealed that over 75% of survey respondents expect hybrid work to become a standard practice within their organization within the next three years.  Thus, two years after the world abruptly shifted to widespread adoption of remote work, we are declaring 20