Artificial Lawyer On Tour – Dates + Venues
It’s conference season and Artificial Lawyer and its founder, er…me…Richard Tromans, are on tour this October and November. Here are some of the upcoming speaking …
ai
Google DeepMind Research Introduces Diversity-Rewarded CFG Distillation: A Novel Finetuning Approach to Enhance the Quality-Diversity Trade-off in Generative AI Models
Generative AI models, driven by Large Language Models (LLMs) or diffusion techniques, are revolutionizing creative domains like art and entertainment. These models can generate diverse content, including texts, images, videos,…
Salesforce AI Research Proposes Dataset-Driven Verifier to Improve LLM Reasoning Consistency
Large language models (LLMs) often fail to consistently and accurately perform multi-step reasoning, especially in complex tasks like mathematical problem-solving and code generation. Despite recent advancements, LLMs struggle to detect…
Baker McKenzie’s Cem Ucan Joins Leya To Change The Game
Baker McKenzie’s well-known Innovation Product Manager, Cem Ucan, is joining Leya, the genAI startup, to help drive the change he wants to see happen in …
OpenR: An Open-Source AI Framework Enhancing Reasoning in Large Language Models
Large language models (LLMs) have made significant progress in language generation, but their reasoning skills remain insufficient for complex problem-solving. Tasks such as mathematics, coding, and scientific questions continue to…
NVIDIA AI Researchers Explore Upcycling Large Language Models into Sparse Mixture-of-Experts
Mixture of Experts (MoE) models are becoming critical in advancing AI, particularly in natural language processing. MoE architectures differ from traditional dense models by selectively activating subsets of specialized expert…
Holistic Evaluation of Vision Language Models (VHELM): Extending the HELM Framework to VLMs
One of the most pressing challenges in the evaluation of Vision-Language Models (VLMs) is related to not having comprehensive benchmarks that assess the full spectrum of model capabilities. This is…
F5-TTS: A Fully Non-Autoregressive Text-to-Speech System based on Flow Matching with Diffusion Transformer (DiT)
The current challenges in text-to-speech (TTS) systems revolve around the inherent limitations of autoregressive models and their complexity in aligning text and speech accurately. Many conventional TTS models require complex…
Apple Researchers Introduce GSM-Symbolic: A Novel Machine Learning Benchmark with Multiple Variants Designed to Provide Deeper Insights into the Mathematical Reasoning Abilities of LLMs
Recent progress in LLMs has spurred interest in their mathematical reasoning skills, especially with the GSM8K benchmark, which assesses grade-school-level math abilities. While LLMs have shown improved performance on GSM8K,…
Stochastic Prompt Construction for Effective In-Context Reinforcement Learning in Large Language Models
Large language models (LLMs) have demonstrated impressive capabilities in in-context learning (ICL), a form of supervised learning that doesn’t require parameter updates. However, researchers are now exploring whether this ability…