Google has revealed two big updates for Gemini 1.5 Pro and the Gemini API, which greatly increase the capabilities of its premier large language model (LLM)
With Gemini 1.5 Pro, developers may now take advantage of a 2 million context window, which was previously limited to 1 million tokens
Gemini API lets developers generate and run Python code on Gemini 1.5 Pro and Flash
A more expansive context window enables the model to comprehend the wider context of a dialogue, story, or inquiry
Gemini suggests Python code to accomplish the desired result based on the task definition and its comprehension of the world
By creating Python scripts that manage particular workflows, Gemini enables developers to automate time-consuming tasks
Google stresses that code execution takes place in a safe sandbox environment with restricted access to outside resources
Provide contrasts with other LLMs, such as OpenAI’s GPT-4, emphasising the special advantages of Gemini