LLMs1 min read
Together AI offers a five-stage guide for moving to open models
Together AI released a playbook to help companies migrate from closed to open source models.
From Together AI blog
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LLMs1 min read
Together AI released a playbook to help companies migrate from closed to open source models.
From Together AI blog
LLMs1 min read
arXiv:2609.13445v1 Announce Type: new Abstract: Speech-to-speech LLMs like Moshi, and its derivative PersonaPlex, can listen and speak concurrently through full-duplex generation. However, they can begin speaking inappropriately during p...
From arXiv cs.CL
How this blog is made
POST /api/v1/route with execute: true.Photo: Yan Krukau
Research1 min read
arXiv:2609.13535v1 Announce Type: new Abstract: The EU AI Act introduces mandatory requirements for high-risk AI systems with the explicit goal of ensuring the development and operation of trustworthy AI. At the same time, AI risk manage...
From arXiv cs.AI
LLMs1 min read
arXiv:2609.13556v1 Announce Type: new Abstract: Large Language Models (LLMs) have shown remarkable proficiency on general-purpose tasks, yet their performance often degrades in highly-specialized technical domains. Moreover, little is kn...
From arXiv cs.CL
LLMs1 min read
arXiv:2609.13154v1 Announce Type: new Abstract: Recent advances in large language models (LLMs) have made prompts increasingly large and complex. Techniques such as chain-of-thought reasoning (Wei et al., 2022) and in-context learning (B...
From arXiv cs.CL
Research1 min read
arXiv:2609.13561v1 Announce Type: new Abstract: Efficient utilization of supply chain analytics for decision making remains a significant challenge for planners, as critical tasks such as database querying, key performance indicator (KPI...
From arXiv cs.AI
AI1 min read
A practitioner's map of the 3 layers in a modern agent stack, with verified sources and an overlap analysis. The post Agent Harness vs Agent Framework vs MCP: Which Layer Owns the Loop, State, Tools, Permissions, and Recovery appeared fi...
From MarkTechPost
LLMs1 min read
Laurie Voss argues that the primary cost in software development is understanding and fulfilling user needs, and that this cost scales with the increasing amount of software. This quotation was collected by Simon Willison.
From Simon Willison on LLMs
LLMs1 min read
A modular AI framework was developed to automatically identify and structure evidence of social tipping points within climate-related documents. The system utilizes a combination of transformer models and a vector store to achieve high accuracy and facilitate systematic analysis of this critical information.
From arXiv cs.CL
Research1 min read
A new Latent-Attention Masked Autoencoder (LAMAE) was developed for learning patient-level representations from multimodal cardiac data. Pretrained on MIMIC-IV, LAMAE outperforms modality-specific models and achieves improved performance across multiple clinical tasks, even with single-modality inputs.
From arXiv cs.AI
Research1 min read
A study comparing Claude-agent-sdk and deepagents across Claude-opus-4-8 and openai-codex with gpt-5.5, gemini-3.5-flash and deepseek-v3.2 found no significant advantage for either vendor-native harness. The study also examined harness cost and completion rates, revealing higher costs and a complex, unresolved billing structure.
From arXiv cs.AI
Research1 min read
A new method, Specified-Foil Counterfactuals, allows engineers to identify past conditions that would have led to an alternative prediction in temporal graphs. The approach reduces predictor evaluations by 75-80% while maintaining 85.7-93.6% of black-box greedy successes.
From arXiv cs.AI
Research1 min read
Research found that financial sentiment tools exhibit different validity depending on the evaluation timeframe. A study using five models and a corpus of securities class actions revealed that same-day predictions align better with human labels than one-day leads.
From arXiv cs.AI
Research1 min read
A new framework utilizes a multi-stage rule-chaining approach to achieve compositional reasoning across symbolic and structural levels, leveraging geometric, color, and object-based analysis. The system demonstrated strong accuracy – exceeding 95% – on ARC benchmarks and offers interpretable insight into cognitive generalization.
From arXiv cs.AI
LLMs1 min read
arXiv:2609.10722v1 Announce Type: new Abstract: Structured extraction from Chinese military news supports intelligence analysis, decision-making, and knowledge base construction. However, existing resources provide limited support for jo...
From arXiv cs.CL
LLMs1 min read
arXiv:2609.10950v1 Announce Type: new Abstract: Recent multimodal sentiment analysis studies increasingly adopt text-centric fusion approaches to exploit the rich sentiment information inherent in the textual modality. However, these app...
From arXiv cs.CL
Models1 min read
A researcher’s lab employs Codex and ChatGPT to analyze genomes, both living and extinct, in the search for new antimicrobial compounds. This approach leverages large language models for rapid candidate identification, addressing the challenge of drug-resistant infections.
From OpenAI news
Agents1 min read
The Agent Evaluation Metric (AEM) provides a new approach to assessing multi-turn agent performance by identifying the specific turn causing failures. This allows for a more granular understanding of agent quality and isolation of problematic interactions.
From AWS machine learning blog
Agents1 min read
AvioBook prototyped Connected Analytics on Amazon Bedrock AgentCore to generate insights from operational data, providing airline managers with evidence-based answers to flight turnaround delays. This allows for faster identification and resolution of issues.
From AWS machine learning blog
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