Large dataset handling in Python is not exempt from challenges like memory constraints and slow processing workflows. Large dataset handling in Python is not exempt from challenges like memory constraints and slow processing workflows. Read More
[[{“value”:” SwiReasoning is a decoding-time framework that lets a reasoning LLM decide when to think in latent space and when to write explicit chain-of-thought, using block-wise confidence estimated from entropy trends in next-token distributions. The method is training-free, model-agnostic, and targets Pareto-superior accuracy/efficiency trade-offs on… Read More »SwiReasoning: Entropy-Driven Alternation of Latent and Explicit Chain-of-Thought for Reasoning LLMs Asif Razzaq Artificial Intelligence Category – MarkTechPost
[[{“value”:” Google AI Research team has brought a production shift in Voice Search by introducing Speech-to-Retrieval (S2R). S2R maps a spoken query directly to an embedding and retrieves information without first converting speech to text. The Google team positions S2R as an architectural and philosophical… Read More »Google Introduces Speech-to-Retrieval (S2R) Approach that Maps a Spoken Query Directly to an Embedding and Retrieves Information without First Converting Speech to Text Maxime Mommessin Artificial Intelligence Category – MarkTechPost
[[{“value”:” In this tutorial, we explore how to secure AI agents in practical, hands-on ways using Python. We focus on building an intelligent yet responsible agent that adheres to safety rules when interacting with data and tools. We implement multiple layers of protection, such as… Read More »A Coding Implementation of Secure AI Agent with Self-Auditing Guardrails, PII Redaction, and Safe Tool Access in Python Asif Razzaq Artificial Intelligence Category – MarkTechPost
Autoregressive language models (ARMs) deliver strong likelihoods, but are inherently serial: they generate one token per forward pass, which limits throughput and inflates latency for long sequences. Diffusion Language Models (DLMs) parallelize across positions and thus appear promising for language generation, yet standard discrete diffusion… Read More »FS-DFM: Fast and Accurate Long Text Generation with Few-Step Diffusion Language Models Apple Machine Learning Research
Multimodal vision-language models (VLMs) continue to achieve ever-improving scores on chart understanding benchmarks. Yet, we find that this progress does not fully capture the breadth of visual reasoning capabilities essential for interpreting charts. We introduce EncQA, a novel benchmark informed by the visualization literature, designed… Read More »EncQA: Benchmarking Vision-Language Models on Visual Encodings for Charts Apple Machine Learning Research
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[[{“value”:” Sentient AI has released ROMA (Recursive Open Meta-Agent), an open-source meta-agent framework for building high-performance multi-agent systems. ROMA structures agentic workflows as a hierarchical, recursive task tree: parent nodes break a complex goal into subtasks, pass them down to child nodes as context, and… Read More »Sentient AI Releases ROMA: An Open-Source and AGI Focused Meta-Agent Framework for Building AI Agents with Hierarchical Task Execution Asif Razzaq Artificial Intelligence Category – MarkTechPost
Before we begin, let’s make sure you’re in the right place. Before we begin, let’s make sure you’re in the right place. Read More
[[{“value”:” In this tutorial, we explore the power of self-supervised learning using the Lightly AI framework. We begin by building a SimCLR model to learn meaningful image representations without labels, then generate and visualize embeddings using UMAP and t-SNE. We then dive into coreset selection… Read More »A Coding Guide to Master Self-Supervised Learning with Lightly AI for Efficient Data Curation and Active Learning Asif Razzaq Artificial Intelligence Category – MarkTechPost