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AI News Weekly – Issue #368: Bill Gates : how AI will change our lives in 5 years – Jan 18th 2024
ByWeb Dev
Powered by superai.com In the News Bill Gates explains how AI will change our lives in 5 years It’s no secret that Bill Gates is bullish on artificial intelligence, but he’s now predicting that the technology will be transformative for everyone within the next five years. cnn.com Sponsor Where AI meets the world: SuperAI |…
Meet ‘AboutMe’: A New Dataset And AI Framework that Uses Self-Descriptions in Webpages to Document the Effects of English Pretraining Data Filters
With the advancements in Natural Language Processing and Natural Language Generation, Large Language Models (LLMs) are being frequently used in real-world applications. With their ability to mimic human behavior, these models, with their general-purpose nature, have stepped into every field and domain. Though these models have gained significant attention, these models represent a constrained and…
UCLA Researchers Introduce Group Preference Optimization (GPO): A Machine Learning-based Alignment Framework that Steers Language Models to Preferences of Individual Groups in a Few-Shot Manner
Large Language Models (LLMs) are increasingly employed for various domains, with use cases including creative writing, chatbots, and semantic search. Many of these applications are inherently subjective and require generations catering to different demographics, cultural and societal norms, or individual preferences. Through their large-scale training, current language models are exposed to diverse data that allows…
Unmasking the Web’s Tower of Babel: How Machine Translation Floods Low-Resource Languages with Low-Quality Content
Much of the modern Artificial Intelligence (AI) models are powered by enormous training data, ranging from billions to even trillions of tokens, which is only possible with web-scraped data. This web content is translated into numerous languages, and the quality of these multi-way translations suggests they were primarily created using Machine Translation (MT). This research…
LLMWare Launches SLIMs: Small Specialized Function-Calling Models for Multi-Step Automation
As enterprises look to deploy LLMs in more complex production use cases beyond simple knowledge assistants, there is a growing recognition of three interconnected needs: Agents – complex workflows involve multiple steps and require the orchestration of multiple LLM calls; Function Calls – models need to be able to generate structured output that can be…
Meet Jan: An Open-Source ChatGPT Alternative that Runs 100% Offline on Your Computer
The dependence on external servers for AI applications can pose risks, including data security and reliance on a stable internet connection. While some alternatives exist, most of them still require an internet connection for functioning. This leaves users searching for a solution that combines the power of AI with the comfort of offline usage. Currently,…
