Microsoft launches three in-house AI models for transcription, voice, and image generation, challenging OpenAI and Google ...

Repilot synthesizes a candidate patch through the interaction between an LLM and a completion engine, which prunes away ...

The words on this page mean something because they are assembled in a particular order and follow the complex rules of grammar and syntax. Creating new chemical polymers follows a similar kind of ...

Abstract: Reconstructing prompts in text generation systems is a significant challenge in natural language processing (NLP). This study presents a novel Siamese encoder-decoder framework augmented ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Andrew Harmel-Law and a panel of expert ...

model_type: str = "paraformer", # or "transducer", "nemo_ctc", "wenet_ctc", "whisper", "tdnn_ctc", "sense_voice", "fire_red_asr" encoder: str = None, # Path to the ...

LLMs and their influence on traffic to a brand’s website are a major topic in our client conversations. Everyone wants to know what’s happening, how they can do better, and what the best practices are ...

The challenge of wrangling a deep learning model is often understanding why it does what it does: Whether it’s xAI’s repeated struggle sessions to fine-tune Grok’s odd politics, ChatGPT’s struggles ...

Researchers at Nvidia have developed a technique that can reduce the memory costs of large language model reasoning by up to eight times. Their technique, called dynamic memory sparsification (DMS), ...

Large-language models (LLMs) have taken the world by storm, but they’re only one type of underlying AI model. An under-the-radar company, Fundamental, is set to bring a new type of enterprise AI model ...

A malicious campaign is actively targeting exposed LLM (Large Language Model) service endpoints to commercialize unauthorized access to AI infrastructure. Over a period of 40 days, researchers at ...