We are thrilled to announce that deepsense.ai has become one of the four companies to partner with the creators of LangChain, an innovative framework known for simplifying and accelerating the process of Large Language Models (LLMs) application development. Building LLM applications might require various specialized models, complicating integration and increasing development complexity. This is where…
In artificial intelligence, one common challenge is ensuring that language models can process information quickly and efficiently. Imagine you’re trying to use a language model to generate text or answer questions on your device, but it’s taking too long to respond. This delay can be frustrating and impractical, especially in real-time applications like chatbots or…
In the ever-evolving field of machine learning, developing models that predict and explain their reasoning is becoming increasingly crucial. As these models grow in complexity, they often become less transparent, resembling “black boxes” where the decision-making process is obscured. This opacity is problematic, particularly in sectors like healthcare and finance, where understanding the basis of…
Long-context large language models (LLMs) have garnered attention, with extended training windows enabling processing of extensive context. However, recent studies highlight a challenge: these LLMs struggle to utilize middle information effectively, termed the lost-in-the-middle challenge. While the LLM can comprehend the information at the beginning and end of the long context, it often overlooks the…
In-context learning (ICL) in large language models (LLMs) utilizes input-output examples to adapt to new tasks without altering the underlying model architecture. This method has transformed how models handle various tasks by learning from direct examples provided during inference. The problem at hand is the limitation of a few-shot ICL in handling intricate tasks. These…
We’re adding new features to help developers have more control over fine-tuning and announcing new ways to build custom models with OpenAI.
We are excited to announce our first office in Asia and we’re releasing a GPT-4 custom model optimized for the Japanese language.
Increasing enterprise support with more security features and controls, updates to our Assistants API, and tools to better manage costs.
We’re joining Thorn, All Tech Is Human, and other leading companies in an effort to prevent the misuse of generative AI to perpetrate, proliferate, and further sexual harms against children.
We have partnered with international news organizations Le Monde and Prisa Media to bring French and Spanish news content to ChatGPT.