architecting

Since the 1940s, neural networks have evolved significantly, from the early concepts of McCulloch and Pitts to Frank Rosenblatt's perceptron in the 1950s. Major advancements in the late 20th century, like the development of the Backpropagation method, set the stage for modern deep learning. The introduction of the transformer architecture in 2017's "Attention is All You Need" by Google researchers marked a turning point in Natural Language Processing (NLP), leading to the development of powerful models like BERT and GPT.…

This research article explores the process of building an LLM (Language Model-based Learning) application using document loaders, embeddings, vector stores, and prompt templates. LLMs have become increasingly popular in natural language processing tasks due to their ability to generate coherent and contextually relevant text. This article discusses the importance of LLMs, compares fine-tuning and context injection approaches, introduces LangChain, and provides a step-by-step process for building the LLM app. Python code…

But how long can such investments continue given current circumstances? For all its spending and workforce, initial versions of products like Worlds have been met with ridicule; for example when Zuckerberg showed off a remarkably unimpressive screenshot of his own avatar, or when Meta was forced to admit it doesn’t know how to track people’s legs.LoadingEarly impressions of the Meta Quest Pro, a very expensive device that attempts to reinvent the Quest 2 for work, have also not been glowing.Meta is making progress towards…