manikandan 
[ad_1] As we have already seen with the basic components (Part 1, Part 2), the Hadoop ecosystem is constantly evolving and being optimized for new applications. As a result, various tools and technologies have developed over time that make Hadoop more powerful and even more widely applicable. As a result, it goes beyond the pure … Read more
[ad_1] Traditional language models rely on autoregressive approaches, which generate text sequentially, ensuring high-quality outputs at the expense of slow inference speeds. In contrast, diffusion models, initially developed for image and video generation, have gained attention in text generation due to their potential for parallelized generation and improved controllability. However, existing diffusion models struggle with … Read more
[ad_1] The rapid evolution of artificial intelligence (AI) has ushered in a new era of large language models (LLMs) capable of understanding and generating human-like text. However, the proprietary nature of many of these models poses challenges for accessibility, collaboration, and transparency within the research community. Additionally, the substantial computational resources required to train such … Read more
[ad_1] Image by Author | Canva Open-source large Llanguage models (LLMs) are getting better with time, and they offer more cost-effective alternatives compared to proprietary models. You can fine-tune them, use them locally, or even serve them on your own server or cloud with enhanced privacy and security. This means you have full control … Read more
[ad_1] Image by Editor | Midjourney We live in an era in which contemporary artificial intelligence has become an integral part of the daily lives of millions of people, with many of these AI products being powered by large language models (LLMs). As LLM becomes increasingly important to the general public, it has become … Read more
[ad_1] The Beginner’s Guide to Language Models with PythonImage by Author | Ideogram Introduction Language models — often known for the acronym LLM for Large Language Models, their large-scale version — fuel powerful AI applications like conversational chatbots, AI assistants, and other intelligent text and content generation apps. This article provides a concise and basic … Read more
[ad_1] Understanding RAG Part VII: Vector Databases and Indexing StrategiesImage by Editor | Midjourney & Canva Be sure to check out the previous articles in this series: Efficiently retrieving knowledge in RAG systems is key to providing accurate and timely responses. Vector databases and indexing strategies play a crucial role in strengthening RAG systems’ performance. … Read more
[ad_1] Access to real-time and historical news data is important in today’s digital landscape. Businesses, developers, and analysts rely on news API data feeds to gather structured insights from various sources, ranging from global news outlets and blogs, to forums and social media. APIs help integrate content into applications and workflows, enabling decision-making and scalable … Read more
[ad_1] ServiceNow has launched its Yokohama platform which introduces AI agents across various sectors to boost workflows and maximise end-to-end business impact. The Yokohama platform release features teams of preconfigured AI agents designed to deliver immediate productivity gains. These agents operate on a single, unified platform, ensuring seamless integration and coordination across different business functions. … Read more
[ad_1] Poetry is often seen as a pure art form, ranging from the rigid structure of a haiku to the fluid, unconstrained nature of free-verse poetry. In analysing these works, though, to what extent can mathematics and Data Analysis be used to glean meaning from this free-flowing literature? Of course, rhetoric can be analysed, references … Read more