Skeet Now Supports Google's New Generative AI Model chat-bison-32k, Enabling More Token Usage and Significantly Improved Performance
Skeet Now Supports Google's New Generative AI Model chat-bison-32k, Enabling More Token Usage and Significantly Improved Performance

ELSOUL LABO B.V. (Headquarters: Amsterdam, Netherlands) is pleased to announce
that Skeet, an open-source serverless app development tool, now supports
Google's new generative AI model, chat-bison-32k.
With this update, developers using Skeet can now benefit from enhanced AI
support, enabling the rapid development of more advanced applications.
Additionally, the performance of AI integrated into the apps has significantly
improved, allowing for the development of more sophisticated services.
About the New Model chat-bison-32k

Google Cloud announced the new generative AI model chat-bison-32k on September
19, making it available on Vertex AI.
The new model has increased the maximum token limit from the previous 1024
to 8196. The larger the number of tokens, the more capable the model is of
handling longer texts and larger data, enabling more advanced responses.
One of the great features of Google's generative AI is its ability to generate
specialized responses in specific fields by being trained on question and answer
samples. The increase in token limit allows for learning more specialized
detailed information, enabling more advanced responses.
The new model chat-bison-32k is also available in the demo app created using
Skeet.
Please try the latest Google generative AI through the link below.
Skeet Demo: https://skeeter.dev/en/
Open-Source Skeet Framework for Rapid Serverless App Development on Google Cloud and Firebase

Skeet is an open-source TypeScript serverless framework that allows for
full-stack app development on GCP (Google Cloud) and Firebase.
With Skeet, you can rapidly develop everything from API servers to Web, iOS, and
Android apps using TypeScript. The framework actively adopts technologies with
good developer experience, such as GraphQL and Firestore.
It also facilitates the development of applications using AI like ChatGPT and
Vertex AI, as well as Web3 dApps using blockchains like Solana.
You can try the demo from the link below. You can also simultaneously try PaLM2,
Vertex AI, and OpenAI's ChatGPT (GPT-3.5, GPT-4) to compare their features.
Skeet Demo: https://skeeter.dev/en/
Furthermore, you can run this demo app on your own PC or cloud environment in
just 5 minutes using Skeet CLI.
First, get a sense of what you can do with the demo, and then start your app
development immediately using Skeet CLI.
The CLI also incorporates AI, offering powerful support like code generation
through chat, significantly improving developer productivity.
Skeet CLI (GitHub): https://github.com/elsoul/skeet-cli
Skeet is being developed as open-source to reduce development and maintenance
costs and improve the developer experience across all application development
environments worldwide.
For more details, please refer to the official documentation.
Skeet Documentation: https://skeet.dev/en/