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Alibaba's new open source Qwen3.5 Medium model offers near Sonnet 4.5 performance on local computers
5+ hour, 56+ min ago (831+ words) Credit: VentureBeat made with Google Gemini 3 Pro Image Alibaba's now famed Qwen AI development team has done it again: a little more than a day ago, they released the Qwen3.5 Medium Model series consisting of four new large language models (LLMs)…...
Gong launches ‘Mission Andromeda’ with AI sales coaching, chatbot and open MCP connections to rivals
11+ hour, 3+ min ago (806+ words) Credit: VentureBeat made with Midjourney Gong, the revenue intelligence company that has spent a decade turning recorded sales calls into data, today launched what it calls Mission Andromeda " its most ambitious platform release to date, bundling a new AI-powered coaching…...
Visual imitation learning: Guidde trains AI agents on human 'expert video' instead of documentation
17+ hour, 58+ min ago (790+ words) VentureBeat made with Flux 2 Pro on fal.ai For years, the "last mile" of digital transformation has been littered with forgotten PDFs and ignored training manuals." Organizations spend millions on sophisticated software like SAP or Salesforce, only for employees to…...
MIT's new fine-tuning method lets LLMs learn new skills without losing old ones
2+ week, 13+ hour ago (991+ words) Image credit: VentureBeat with ChatGPT When enterprises fine-tune LLMs for new tasks, they risk breaking everything the models already know. This forces companies to maintain separate models for every skill. Researchers at MIT, the Improbable AI Lab and ETH Zurich…...
How Sakana AI’s new evolutionary algorithm builds powerful AI models without expensive retraining
5+ mon, 3+ week ago (274+ words) A new evolutionary technique from Japan-based AI lab Sakana AI enables developers to augment the capabilities of AI models without costly training and fine-tuning processes. The technique, called Model Merging of Natural Niches (M2N2), overcomes the limitations of other model merging…...
Forget data labeling: Tencent’s R-Zero shows how LLMs can train themselves
5+ mon, 4+ week ago (782+ words) Experiments show that R-Zero substantially improves reasoning capabilities across different LLMs, which could lower the complexity and costs of training advanced AI. For enterprises, this approach could accelerate the development of specialized models for complex reasoning tasks without the massive…...
Don’t sleep on Cohere: Command A Reasoning, its first reasoning model, is built for enterprise customer service and more
6+ mon, 4+ day ago (865+ words) I was in more meetings than usual today so I just caught up to the fact that Cohere, the Canadian startup geared co-founded by former Transformer paper author Aidan Gomez toward making generative AI products work easily, powerfully, and securely…...
Chan Zuckerberg Initiative’s rBio uses virtual cells to train AI, bypassing lab work
6+ mon, 4+ day ago (1402+ words) The Chan Zuckerberg Initiative announced Thursday the launch of rBio, the first artificial intelligence model trained to reason about cellular biology using virtual simulations rather than requiring expensive laboratory experiments " a breakthrough that could dramatically accelerate biomedical research and drug…...
Stop benchmarking in the lab: Inclusion Arena shows how LLMs perform in production
6+ mon, 6+ day ago (669+ words) Benchmark testing models have become essential for enterprises, allowing them to choose the type of performance that resonates with their needs. But not all benchmarks are built the same and many test models are based on static datasets or testing…...
LLMs generate ‘fluent nonsense’ when reasoning outside their training zone
6+ mon, 6+ day ago (513+ words) A new study from Arizona State University researchers suggests that the celebrated "Chain-of-Thought" (CoT) reasoning in Large Language Models (LLMs) may be more of a "brittle mirage" than genuine intelligence. The research builds on a growing body of work questioning…...