Microsoft launches 3 new AI models in direct shot at OpenAI and Google

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

Copiloting the Copilots for Automated Program Repair

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

Generative AI for polymer design passes lab tests with a new dielectric material

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 ...
IEEE

A Siamese Encoder-Decoder Model with Attention for LLM Prompt Reconstruction

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 ...
IEEE

Bridging Models and Language: An Encoder-Decoder Approach for Automated Architectural Documentation with LLMs

Abstract: In modern software development, maintaining consistency between architectural documentation and implementation remains a significant challenge. This research explores how large language ...
GitHub

sherpa_onnx_asr.py

encoder: str = None, # Path to the encoder model, used with transducer decoder: str = None, # Path to the decoder model, used with transducer joiner: str = None, # Path to the joiner model, used with ...
InfoQ

Google Researchers Propose Bayesian Teaching Method for Large Language Models

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 ...