Imagine this: you have built an AI app with an incredible idea, but it struggles to deliver because running large language models (LLMs) feels like trying...
Anthropic's Model Context Protocol (MCP) is an open-source protocol that enables secure, two-way communication between AI assistants and data sources like databases, APIs, and enterprise tools....
As AI engineers, crafting clean, efficient, and maintainable code is critical, especially when building complex systems. Design patterns are reusable solutions to common problems in software...
The growth of autonomous agents by foundation models (FMs) like Large Language Models (LLMs) has reform how we solve complex, multi-step problems. These agents perform tasks ranging...
The LLM-as-a-Judge framework is a scalable, automated alternative to human evaluations, which are often costly, slow, and limited by the volume of responses they can feasibly...
Microsoft Research introduced AutoGen in September 2023 as an open-source Python framework for building AI agents capable of complex, multi-agent collaboration. AutoGen has already gained traction...
On October 17, 2024, Microsoft announced BitNet.cpp, an inference framework designed to run 1-bit quantized Large Language Models (LLMs). BitNet.cpp is a significant progress in Gen...
The race to dominate the enterprise AI space is accelerating with some major news recently. OpenAI’s ChatGPT now boasts over 200 million weekly active users, a...
In the constantly evolving field of molecular biology, one of the most challenging tasks has been designing proteins that can effectively bind to specific targets, such...
As the demand for large language models (LLMs) continues to rise, ensuring fast, efficient, and scalable inference has become more crucial than ever. NVIDIA's TensorRT-LLM steps...
Reflection 70B is an open-source large language model (LLM) developed by HyperWrite. This new model introduces an approach to AI cognition that could reshape how we...
Computational power has become a critical factor in pushing the boundaries of what's possible in machine learning. As models grow more complex and datasets expand exponentially,...
As developers and dta scientists, we often find ourselves needing to interact with these powerful models through APIs. However, as our applications grow in complexity and...
Diffusion models have emerged as a powerful approach in generative AI, producing state-of-the-art results in image, audio, and video generation. In this in-depth technical article, we'll...
Language models has witnessed rapid advancements, with Transformer-based architectures leading the charge in natural language processing. However, as models scale, the challenges of handling long contexts,...