AI & LLM

Person looking at two desktop screens.

Feb 20, 2025

| by

Oluwatimilehin Ogidan

11 Best AI tools for developers in 2025

Looking to build your next coding project? Learn about the best AI developer tools that you can use to code faster and better.

An illustration comparing Large Language Models (LLMs) with different parameter sizes. On the left, a small LLM is represented by a compact neural network with fewer nodes and connections, symbolizing limited capacity and computational power

Feb 19, 2025

| by

Jim Bennett

What are LLM parameters and what is their role?

Language models, both large and small, have their size measured in parameters. The big, cloud models, like GPT-4o use trillions of parameters, whereas smaller models you can run locally have billions of parameters.

An illustration comparing Multimodal AI and Unimodal AI. On the left, Multimodal AI processes and integrates multiple types of data, such as text, images, and speech, represented by interconnected icons of a document, a camera, and a microphone

Feb 18, 2025

| by

Haimantika Mitra

Multimodal AI: First hand experience integrating it into team's workflow

AI is a part of most workflows across teams. In this article, we will learn about Multimodal AI, what it is, and how it can help you in decision-making.

Image of two people in their laptops, talking.

Feb 3, 2025

| by

Piero Borrelli

Top 8 collaboration tools that you need to know for remote work & AI integration

Two key factors in making remote work successful are: async communication and collaboration. In this article, we will see top code collaboration and management tools that can make you more productive in a remote setup.

Jan 30, 2025

| by

Ellie Zubrowski

The future of AI: 2025 predictions from the AI community and industry leaders

Discover the future of AI with industry-specific predictions and trends. Explore how AI is transforming your industry, shaping the next wave of innovation.

Llm agnostic performance graphic

Jan 29, 2025

| by

Haimantika Mitra

Why LLM agnostic solutions are the future of dev tools

LLM agnosticism prioritizes flexibility and adaptability by not being tied to one AI model or LLM. It can decrease risk and increase benefits for organizations.

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