There’s a strange loop taking over social media right now. Scroll through TikTok, YouTube Live, or Instagram, and you’ll see a parade of “digital marketing experts” promoting their latest PDF guide, online course, or coaching program. What’s it about? Digital marketing. But not the kind that helps actual businesses improve performance, it’s a course on …
Read more “Digital Marketing Courses to Sell Digital Marketing Courses”
Long chain-of-thought (CoT) significantly enhances large language models’ (LLM) reasoning capabilities. However, the extensive reasoning traces lead to inefficiencies and an increased time-to-first-token (TTFT). We propose a novel training paradigm that uses reinforcement learning (RL) to guide reasoning LLMs to interleave thinking and answering for multi-hop questions. We observe that models inherently possess the ability …
Read more “Interleaved Reasoning for Large Language Models via Reinforcement Learning”
In the financial services industry, analysts need to switch between structured data (such as time-series pricing information), unstructured text (such as SEC filings and analyst reports), and audio/visual content (earnings calls and presentations). Each format requires different analytical approaches and specialized tools, creating workflow inefficiencies. Add on top of this the intense time pressure resulting …
Agentic AI played a decisive role in dismantling DanaBot, a Russian malware platform responsible for more than 50 million dollars in damages.Read More
The internet freaked out after Anthropic revealed that Claude attempts to report “immoral” activity to authorities under certain conditions. But it’s not something users are likely to encounter.
Engineers have developed a real-life Transformer that has the ‘brains’ to morph in midair, allowing the drone-like robot to smoothly roll away and begin its ground operations without pause. The increased agility and robustness of such robots could be particularly useful for commercial delivery systems and robotic explorers.
A leading large language model displays behaviors that resemble a hallmark of human psychology: cognitive dissonance.
Let’s look at what content distribution is in 2024, and how can you get your content in front of the right people at the right time.
In machine learning model development, feature engineering plays a crucial role since real-world data often comes with noise, missing values, skewed distributions, and even inconsistent formats.
Mixture-of-Experts (MoE) models are crucial for scaling model capacity while controlling inference costs. While integrating MoE into multimodal models like CLIP improves performance, training these models is notoriously challenging and expensive. We propose CLIP-Upcycling (CLIP-UP), an efficient alternative training strategy that converts a pre-trained dense CLIP model into a sparse MoE architecture. Through extensive experimentation …