Seonglae ChoStubbs
A feature where you can create working apps directly in a site with just one prompt
Google plans to integrate the AI technology into products like Chrome DevTools, and Firebase.
Gemini Google Versions
Gemini API Parameters (‣)
- logprobs
- candidateCount
- seed
- presencePenalty , frequencyPenalty
Gemini Canvas
Multimodal Canvas
https://labs.google/multimodal-canvas
Released
Gemini - Google DeepMind
Gemini is built from the ground up for multimodality — reasoning seamlessly across image, video, audio, and code.
https://deepmind.google/technologies/gemini/#capabilities
arxiv.org
https://arxiv.org/pdf/2312.11805.pdf
emultimodal
Gemini is coming to Makersuite & so are Stubbs
The first ever look at the multimodal Gemini and an extra, secret tool that Google has hidden from everyone, leaked as well.
https://medium.com/@bedros-p/gemini-is-coming-to-makersuite-so-are-stubbs-32248f3924aa
Gemini: Google's Latest AI Challenging GPT-4
Google's new AI project, Gemini, is set to redefine the industry with its multimodal capabilities and challange GPT-4. As a network of models under the Generalized Multimodal Intelligence Network, Gemini excels in handling a variety of data types and tasks, from text, images, to audio and video, leveraging a unique architecture that merges a multimodal encoder and decoder. Gemini adjusts easier than other big language systems like GPT-4, making it able to offer new and exciting experiences and solve a wide range of problems.
Become a Member of the channel and Supporter of AI Revolution → https://www.youtube.com/channel/UC5l7RouTQ60oUjLjt1Nh-UQ/join
#ai #gemini #google
https://www.youtube.com/watch?v=gwEuvrI4fx4
Enum mode AI Guardrail
Generate structured output with the Gemini API | Google AI for Developers
Learn how to generate JSON output with the Gemini API
https://ai.google.dev/gemini-api/docs/structured-output?lang=python#use-an-enum
function calling
Intro to function calling with the Gemini API | Google AI for Developers
Function calling lets you connect models to external tools and APIs.
Instead of generating text responses, the model understands when to call specific
functions and provides the necessary parameters to execute real-world actions.
This allows the model to act as a bridge between natural language and real-world
actions and data. Function calling has 3 primary use cases:
https://ai.google.dev/gemini-api/docs/function-calling
