Large language models are hitting significant computational barriers when processing extensive texts, according to a detailed analysis by Timothy B. Lee published in Ars Technica. The fundamental issue lies in how these models process information: computational costs increase quadratically with input size. Current leading models like GPT-4o can handle about 200 pages of text, while … Read more
Researchers at Hugging Face have demonstrated that small language models can outperform their larger counterparts using advanced test-time scaling methods. As reported by Ben Dickson for VentureBeat, a Llama 3 model with just 3 billion parameters matched the performance of its 70-billion-parameter version on complex mathematical tasks. The breakthrough relies on scaling “test-time compute,” which … Read more
Anthropic researchers have discovered that AI language models can be easily manipulated through a simple automated process called Best-of-N Jailbreaking. According to an article published by Emanuel Maiberg at 404 Media, this method can bypass AI safety measures by using randomly altered text with varied capitalization and spelling. The technique achieved over 50% success rates … Read more
Apple and Nvidia have announced the integration of Apple’s ReDrafter technology into Nvidia’s TensorRT-LLM framework, enabling faster processing of large language models (LLMs) on Nvidia GPUs. ReDrafter, an open-source speculative decoding approach developed by Apple, uses recurrent neural networks to predict future tokens during text generation, combined with beam search and tree attention algorithms. The … Read more
According to a comprehensive report by Artificial Analysis (PDF), artificial intelligence models showed remarkable progress throughout 2024, with multiple companies catching up to and surpassing OpenAI’s GPT-4 capabilities. The report, published on artificialanalysis.ai, documents substantial improvements in model performance, efficiency, and accessibility. The analysis reveals that frontier language models achieved new intelligence benchmarks, with models … Read more
Startup Patronus AI has developed a breakthrough AI evaluation model that achieves comparable results to much larger systems while using significantly fewer computational resources. As reported by Michael Nuñez for VentureBeat, the new open-source model named Glider uses only 3.8 billion parameters yet matches or exceeds the performance of GPT-4 on key benchmarks. The model … Read more
Google has introduced FACTS Grounding, a new benchmark system to evaluate how accurately large language models (LLMs) use source material in their responses. The benchmark comprises 1,719 examples across various domains including finance, technology, and medicine. The FACTS team at Google DeepMind and Google Research developed the system, which uses three frontier LLM judges – … Read more
A comprehensive study by the Data Provenance Initiative has uncovered concerning trends in AI training data sources, according to findings reported by Melissa Heikkilä in MIT Technology Review. The research, analyzing nearly 4,000 public datasets across 67 countries, shows that data collection for AI development is increasingly concentrated among major technology companies. Since 2018, web … Read more
A new study by Anthropic’s Alignment Science team and Redwood Research has uncovered evidence that large language models can engage in strategic deception by pretending to align with new training objectives while secretly maintaining their original preferences. The research, conducted using Claude 3 Opus and other models, demonstrates how AI systems might resist safety training … Read more
Microsoft’s chief product officer for responsible AI, Sarah Bird, detailed the company’s strategy for safe AI development in an interview with Financial Times reporter Cristina Criddle. Bird emphasized that while generative AI has transformative potential, artificial general intelligence (AGI) still lacks fundamental capabilities and remains a non-priority for Microsoft. The company focuses instead on augmenting … Read more