Revolutionizing AI: LLMs Without GPUs? The Promise of BitNet B1.58

Introduction Large Language Models (LLMs) are the powerhouses behind cutting-edge AI applications like chatbots and text generation tools. These complex models have traditionally relied on high-performance GPUs to handle the massive amounts of computation involved. But what if that wasn’t necessary? Recent breakthroughs, like the BitNet B1.58 model, hint at a future where LLMs can … Read more

Writing Test Cases with Github Copilot

Introduction Complex tasks, such as writing unit tests, can benefit from multi-step prompts. In contrast to a single prompt, a multi-step prompt generates text from GPT and then feeds that output text back into subsequent prompts. This can help in cases where you want GPT to reason things out before answering, or brainstorm a plan … Read more

Understanding Embeddings

Introduction Embeddings are numerical representations of concepts converted to number sequences, which make it easy for computers to understand the relationships between those concepts.  Whether it’s natural language processing, computer vision, recommender systems, or other applications, embeddings play a crucial role in enhancing model performance and scalability. Text embeddings measure the relatedness of text strings. … Read more