Intro to Streamlit
- Simple and complex Streamlit example
- Data and state management in Streamlit apps
- Data widgets for Streamlit apps
- Deploying Streamlit apps
- Simple and complex Streamlit example
- Data and state management in Streamlit apps
- Data widgets for Streamlit apps
- Deploying Streamlit apps
Jemma is a GitHub repository that utilizes AI agents to build software from text-based ideas
It takes an idea in text form and assembles a team to create a web-based prototype
- Works best with Claude models, such as claude-3-haiku-20240307
- Project managers, business owners, and engineers work together to create prototypes
- Users can provide feedback to improve the prototypes
It takes an idea in text form and assembles a team to create a web-based prototype
- Works best with Claude models, such as claude-3-haiku-20240307
- Project managers, business owners, and engineers work together to create prototypes
- Users can provide feedback to improve the prototypes
NiceGUI is a Python-based UI framework that works smoothly with web browsers or as a desktop app
Easy-to-use interface with many features, including buttons, switches, sliders, input fields, charts, tables, and visuals
Integrates with data visualization libraries like Matplotlib and Plotly
Customizable with styles and colors
Open-source and backed by a smaller community
Deployment on cloud platforms like FastAPI, Vue, and Quasar
Limited by the popularity of other frameworks like Streamlit, but offers unique features and capabilities
Easy-to-use interface with many features, including buttons, switches, sliders, input fields, charts, tables, and visuals
Integrates with data visualization libraries like Matplotlib and Plotly
Customizable with styles and colors
Open-source and backed by a smaller community
Deployment on cloud platforms like FastAPI, Vue, and Quasar
Limited by the popularity of other frameworks like Streamlit, but offers unique features and capabilities
Extract structured data from remote or local LLM models. Predictable output is essential for any serious use of LLMs.
Extract data into Pydantic objects, dataclasses or simple types.
Same API for local file models and remote OpenAI, Mistral AI and other models.
Model management: download models, manage configuration, quickly switch between models.
Tools for evaluating output across local/remote models, for chat-like interaction and more.
No matter how well you craft a prompt begging a model for the output you need, it can always respond something else. Extracting structured data can be a big step into getting predictable behavior from your models.
Extract data into Pydantic objects, dataclasses or simple types.
Same API for local file models and remote OpenAI, Mistral AI and other models.
Model management: download models, manage configuration, quickly switch between models.
Tools for evaluating output across local/remote models, for chat-like interaction and more.
No matter how well you craft a prompt begging a model for the output you need, it can always respond something else. Extracting structured data can be a big step into getting predictable behavior from your models.
We introduce LayoutLM, one of the renowned models for extracting information from documents, developed by Microsoft. To tailor a solution for our specific needs, we label our documents using Label Studio, an open-source labeling tool, connected to our remote storage AWS S3.
comprehensive guide on researching ancestors from the regions of Alsace and Lorraine in eastern France, including information about their history, language, culture, and key dates
free and paid courses available for learning about Artificial Intelligence (AI). It mentions courses from NVIDIA, Google Cloud Skills Boost program, Amazon's training center, OpenAI's partner DeepLearning.ai, edX, and Microsoft.
