Awesome List Updates on Nov 02, 2023

9 awesome lists updated today.

1. Ai Collective Tools

Boom AI - powered voice agents and services built by contact center experts. #freemium

Picsart - Convert words into an image in mere seconds with the Picsart AI Image Generator. #freemium

The Database of Cross-Linguistic Colexifications, reproducible analysis of cross-linguistic polysemies - Scientific Data, 2020. [All Versions]. [Project]. CLICS tackles interconnected interdisciplinary research questions about the colexifcation of words across semantic categories in the world’s languages, and show-cases best practices for preparing data for cross-linguistic research.

Starting with Data: Every Generative AI process begins with data. This can be in various forms such as text, images, sounds, or other datasets. This data serves as the foundational material that the AI uses to recognize and understand patterns.

Training the AI: With the data in hand, the next step is 'training'. During this phase, the AI processes the data multiple times to learn and internalize the patterns present. The outcome of this stage is a 'model', which acts like a digital representation of the knowledge derived from the data.

Fine-Tuning: At times, there's a need for the AI to focus on specific nuances or characteristics. In such cases, an additional set of data is used to 'fine-tune' the already trained model, enhancing its capabilities in the desired direction.

Using the Model: After training, the model is prepared to make inferences, which means using its acquired knowledge to process new data and come up with relevant outputs. This inference process can be executed locally on a machine or can be accessed remotely through an 'API'. The choice between local execution and API access often depends on factors like computational resources, application needs, and user preferences. Whether locally or via an API, the goal is to leverage the model's capabilities to derive meaningful results from new data inputs.

Generating New Data: With the model set up, the AI can now produce or 'generate' new data. By giving the AI certain 'input parameters' or guidelines, it returns with 'generated output', which is the newly created content.

Applications: The output generated by the AI can be incorporated into a range of applications, be it websites, mobile apps, or other digital platforms. The 'interface' refers to the user-facing portion of these applications, enabling users to interact with and benefit from the AI's capabilities.

mangelozzi/rgflow.nvim (⭐82) - Quickly get RipGrep results into an editable Quickfix list, while learning RipGrep's CLI.

miikanissi/modus-themes.nvim (⭐170) - Accessible theme, conforming with the highest standard for color contrast (WCAG AAA).

todoist-box (⭐4) - Update a pinned gist to contain your Todoist productivity stats

FEaaS BYOC Example (⭐3) - A repo that demonstrates an example of BYOC components using best practices.

Blazor on .NET 8 - Ten Reasons why Blazor on .NET 8 is a Game Changer - October 10, 2023 - 10 reasons why the new enhancements and new features about Blazor released with .NET 8 are an absolute game changer.