Social Media Ideas for Audio Language Model

SLM vs LLM: Choosing the Right Small Language Model Size

A small language model runs on ordinary hardware fast enough to serve one user, and an LLM is one that does not. SLM vs LLM compared, with 200 measured runs.

PolyAI Releases Dialog-RSN-1: An Audio-Native Dialog Model That Fuses Turn-Taking, Speech Recognition, Function Calling,...

PolyAI has introduced Dialog-RSN-1, a dialog model that perceives caller audio directly instead of reading an ASR transcript. It fuses turn-taking, speech recognition, function cal...

Spring AI Short Term Memory Sessions Example

Large Language Models are fundamentally stateless. If an application sends the question “What is my favorite programming language?” to a model, the model cannot automatically know...

Meta、初のリアルタイム音声認識モデル「Muse Voice Transcribe」　20人超の話者識別と多言語混在に対応

Metaは、リアルタイム音声認識モデル「Muse Voice Transcribe」を発表した。単一モデルで音声認識、話者分離、発話終了検知を処理し、20人以上の話者識別や日本語を含む多言語に対応する。「Met...

Training Arabic Dialect TTS Models for On-Premises Voice AI: R&D Project by ScienceSoft

Prime Intellect Recursive Language Model

Recursive Language Models (RLMs) are a general inference paradigm that treats long prompts as part of an external environment and allows the LLM to programmatically examine, decomp...

Best Open Speech Recognition (ASR) Models in 2026: WER, Languages, Latency, and License Compared

Open speech recognition stopped being a Whisper monoculture in 2026. Cohere Transcribe, IBM Granite Speech 4.1, ARK-ASR and MOSS-Transcribe are now separated by less than one WER p...

LM Studio adds GLM-5.3-Flash to Bionic, with image support and 1M-token context

LM Studio has added Z.ai’s new GLM-5.3-Flash model to Bionic, its AI agent platform, bringing multimodal input, a 1 million-token context window, and significantly lower pricing th...

Meta's new AI transcription model can distinguish between multiple speakers and languages in real-time

The latest release from Meta Superintelligence Lab is a powerful transcription model.

I built a portable keyword spotting engine — started with Chinese, now supporting English

I built a portable keyword spotting engine — started with Chinese, now supporting English I wanted offline voice commands for a few Python projects. Nothing fancy — just a si...

ByteDance Seed Introduces SeedRealtime: a Native Audio-Visual Full-Duplex LLM That Watches, Listens and Speaks in One Mo...

ByteDance’s Seed team has introduced SeedRealtime, a native audio-visual full-duplex LLM. The model fuses audio, video and text in a single unified architecture. It interacts in re...

Spring AI with Local LLMs Using LM Studio

Large Language Models (LLMs) are commonly accessed through cloud APIs provided by services such as OpenAI, Anthropic, or Google Gemini. However, there are many situations where dev...

Cartesia Ships Sonic-3.6: A Streaming TTS Model That Now Leads Both Artificial Analysis Speech Arenas

Cartesia has released Sonic-3.6, a streaming text-to-speech model built on state space models rather than transformers. It now ranks #1 on both Artificial Analysis speech leaderboa...

Meta launches Muse Voice Transcribe, MSL's first real-time audio perception model, with streaming automatic speech recog...

Meta AI Research: Meta launches Muse Voice Transcribe, MSL's first real-time audio perception model, with streaming automatic speech recognition, trained with 70+ languages  —  Exp...

Facilitating Audits of Language Models

Language models influence which news we see, which job applications get a second look, and what a chatbot answers when asked for medical advice. Yet even experts who build these sy...

Meta Superintelligence Labs Releases Muse Voice Transcribe: One Real-Time Model for Streaming ASR, Diarization, and Endp...

Most production voice stacks are three systems stitched together. One model transcribes, a second separates speakers, and a detector decides when the user stopped talking. Each han...

Structured Language Model Generation with Outlines

Outlines is an open-source library that introduces deterministic certainty into LLMs' output generation process for better, more reliable generation of structured outputs.

Lowest-Latency Inference APIs for Voice and Realtime Agents: A Time to First Token TTFT-First Benchmark

Voice agents fail on latency long before they fail on intelligence. Time to first token is the metric most teams use to choose an inference API, and it is the right starting point...

Decoding Strategies and Output Control

This chapter is divided into nine parts; they are: • Reading Logits from a Model • Greedy Decoding • Temperature Sampling • Top-$k$ Sampling • Nucleus Sampling • Repetition Penalti...

How to Switch Between AI Models Automatically

AI applications do not always need the same language model for every request. A simple factual question may only require a small, fast model, while a request involving multiple con...

Best AI Tools for Language Learning (2026)

Best Ai Language Learning in 2026, including the best picks, tradeoffs, pricing context, and who should choose each option.

Z.ai releases GLM-5.3-Flash, the first natively multimodal GLM-5 series model, with 320B parameters, and says it served...

Z.ai: Z.ai releases GLM-5.3-Flash, the first natively multimodal GLM-5 series model, with 320B parameters, and says it served the model as Ox Alpha on Chinese chips  —  We introduc...

Phonely Launches Alma, a Voice LLM That’s 63% Faster and 84% Cheaper Than OpenAI

Trained on 10 million real phone conversations, Alma answers in under 200 milliseconds where OpenAI’s GPT-4.1 takes roughly 500, and scores higher on call quality Phonely, the lead...

Alibaba’s Tongyi Lab Releases Qwen-Audio-3.0-TTS, a Hosted Text-to-Speech Model in Flash and Plus Tiers Across 16 Langua...

Alibaba’s Tongyi Lab has released Qwen-Audio-3.0-TTS, a production-oriented text-to-speech (TTS) system. The model ships in two variants from the same lineage. Flash targets real-t...