Adding Images & Article Thumbnails to My AI WhatsApp News Bot
Because text summaries look 10× cooler when you throw in real article images.
Continue reading on Artificial Intelligence in Plain English »
Because text summaries look 10× cooler when you throw in real article images.
Continue reading on Artificial Intelligence in Plain English »
NVIDIA has just released Canary-Qwen-2.5B, a groundbreaking automatic speech recognition (ASR) and language model (LLM) hybrid, which now tops the Hugging Face OpenASR leaderboard with a record-setting Word Error Rate (WER) of 5.63%. Licensed under CC-BY, this model is both commercially permissive and open-source, pushing forward enterprise-ready speech AI without usage restrictions. This release marks…
Transformer models have significantly influenced how AI systems approach tasks in natural language understanding, translation, and reasoning. These large-scale models, particularly large language models (LLMs), have grown in size and complexity to the point where they encompass broad capabilities across various domains. However, applying these models to new, specialized tasks remains a complex operation. Each…
Tencent’s Hunyuan team has introduced Hunyuan-A13B, a new open-source large language model built on a sparse Mixture-of-Experts (MoE) architecture. While the model consists of 80 billion total parameters, only 13 billion are active during inference, offering a highly efficient balance between performance and computational cost. It supports Grouped Query Attention (GQA), 256K context length, and…
In this tutorial, we implement a sophisticated Optuna workflow that systematically explores pruning, multi-objective optimization, customized callbacks, and wealthy visualization. Through every snippet, we see how Optuna helps us form smarter search areas, pace up experiments, and extract insights that information mannequin enchancment. We work with actual datasets, design environment friendly search methods, and analyze…
Modern language agents need to handle multi-turn conversations, retrieving and updating information as tasks evolve. However, most current systems simply add all past interactions to the prompt, regardless of relevance. This leads to bloated memory usage, slower performance, and poor reasoning on longer inputs that weren’t seen during training. Real-world examples, such as research or…
A study from the London School of Economics and Systemiq suggests it’s possible to cut global carbon emissions without giving up modern comforts—with AI as our ally in the climate fight. According to the duo’s research, smart AI applications in just three industries could slash greenhouse gas emissions by 3.2-5.4 billion tonnes each year by…