The Future of AI
This blog post focuses on new features and improvements. For a comprehensive list, including bug fixes, please see the release notes. Fine-Tuning Large Language Models using the Clarifai Platform Fine-tuning allows you to adapt foundational text-to-text models to specific tasks or domains, making them more suitable for particular applications. By training on task-specific data, you can … Read more
In an era where AI and machine learning have streamlined everything, including hiring processes, the balance between efficiency and equity comes into question. With algorithms, machine learning, and statistical modeling defining who gets hired or promoted, are these decisions genuinely fair? How can we ensure these technological advances don’t harbor biases or injustices? New York … Read more
Diffusion models are a new class of state-of-the-art generative models that generate diverse high-resolution images. They have already attracted a lot of attention after OpenAI, Nvidia and Google managed to train large-scale models. Example architectures that are based on diffusion models are GLIDE, DALLE-2, Imagen, and the full open-source stable diffusion. But what is the … Read more
Source In today’s rapidly evolving business landscape, standing out from the competition is more crucial than ever. One significant way to elevate your professional standing and enhance your business acumen is by pursuing a Master of Business Administration (MBA). An MBA doesn’t just come with a prestigious title; it brings a wealth of knowledge, skills, … Read more
Introduction In today’s fast-paced world, choosing healthy food choices has become more essential. With so many goods on grocery store shelves, it can be difficult to understand nutrition labels. Fortunately, technological improvements have created opportunities for innovative solutions to this problem. One such solution is Yatter , an innovative AI tool that simplifies the process … Read more
Humans suck at almost everything. Yann LeCun recently pointed this out. And an infant sucks at everything (joke opportunity ignored) and a 4-year old knows some language but can’t handle working at a factory. And if someone doesn’t know Math, they can’t be a Math teacher. Queue up the scene in “I, Robot” where Will … Read more
object(WP_Post)#7548 (24) { [“ID”]=> int(35056) [“post_author”]=> string(2) “36” [“post_date”]=> string(19) “2024-10-10 00:11:13” [“post_date_gmt”]=> string(19) “2024-10-10 00:11:13” [“post_content”]=> string(6835) ” The role –and nature– of news and journalism is constantly evolving, from how it is consumed to which voices are trusted. New platforms, the rise of citizen journalists, and shifting news consumption habits are continuing to … Read more
As markets become increasingly saturated and consumer expectations evolve, businesses must refine their strategies to stand out. AI-driven market segmentation is transforming the way companies approach customer targeting, offering sophisticated tools to dissect and understand customer data with unprecedented accuracy. By harnessing machine learning and predictive analytics, businesses can achieve precise AI customer targeting and … Read more
Introduction Artificial Intelligence (AI) is transforming U.S. law enforcement by enhancing crime-solving capabilities, predicting criminal behavior, and optimizing resource allocation. This transformation hinges on real-time crime analysis, which enables officers to respond more quickly to incidents and detect patterns that may indicate emerging threats. The adoption of technologies like AI-powered Open Source Intelligence (OSINT) tools … Read more
High latency in time-to-first-token (TTFT) is a significant challenge for retrieval-augmented generation (RAG) systems. Existing RAG systems, which concatenate and process multiple retrieved document chunks to create responses, require substantial computation, leading to delays. Repeated computation of key-value (KV) caches for retrieved documents further exacerbates this inefficiency. As a result, RAG systems struggle to meet … Read more