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MarkTechPost
marktechpost.com > 09/10/2026 > google-research-releases-toolgrad-answer-first-framework-hits-99-8-pass-rate-for-tool-use-data-generation

Google Research Releases ToolGrad: Answer-First Framework Hits 99.8% Pass Rate for Tool-Use Data Generation

2+ hour, 59+ min ago   (279+ words) Is it deployable? Yes. The code is Apache-2.0, the ToolGrad-500 dataset and the 1B, 4B, and 12B models are on Hugging Face, and there is a PyPI package. ToolGrad reverses the order. It first constructs a ground-truth tool-use chain by actually executing APIs,…...

MarkTechPost
marktechpost.com > 09/04/2026 > datasets-invent-api-training-data-without-labeling-adaptive-data-autoscientist

Adaption Labs Introduces 'Invent a Dataset': Training Data Generated From a Task Description, Not a Seed Corpus

6+ day, 2+ hour ago   (284+ words) This week, Adaption Labs released Invent a Dataset. The feature generates a structured, training-ready dataset from a description of the behavior you want a model to learn. You do not arrive with a seed corpus, a predefined schema, or a…...

MarkTechPost
marktechpost.com > 09/02/2026 > perplexity-open-sources-lily-a-rust-metal-inference-engine-for-qwen3-6-35b-a3b-on-apple-silicon

Perplexity Open Sources Lily: A Rust + Metal Inference Engine for Qwen3.6-35B-A3B on Apple Silicon

1+ week, 1+ day ago   (722+ words) Perplexity has open sourced Lily, the local inference engine behind Hybrid Compute in Perplexity Computer. Built in Rust with custom Metal kernels for one model on one chip family, it averages 1.23x MLX-LM's prefill throughput and 1.35x its decode throughput on a…...

MarkTechPost
marktechpost.com > 09/01/2026 > meta-superintelligence-labs-releases-muse-voice-transcribe-one-real-time-model-for-streaming-asr-diarization-and-endpointing

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

1+ week, 2+ day ago   (574+ words) 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 hand-off adds latency and a new failure mode. Muse Voice Transcribe, announced by Meta…...

MarkTechPost
marktechpost.com > 08/31/2026 > gradium-ai-releases-new-default-tts-model-81-0-hard-case-pass-rate-at-216-ms-time-to-first-audio

Gradium AI Releases New Default TTS Model: 81.0% Hard-Case Pass Rate at 216 ms Time-to-First-Audio

1+ week, 3+ day ago   (274+ words) Yes, today, with no migration. Gradium switched the model on as the default across its API and Studio on August 31, 2026. Existing voices, including custom clones, keep working unchanged. Scoring is human and strict. A sentence passes only if an independent…...

MarkTechPost
marktechpost.com > 08/31/2026 > google-ai-releases-timesfm-3-a-330m-parameter-zero-shot-foundation-model-for-multivariate-time-series-forecasting

Google AI Releases TimesFM-3: A 330M Parameter Zero-Shot Foundation Model For Multivariate Time Series Forecasting

1+ week, 3+ day ago   (332+ words) MarkTechPost Google Research has released TimesFM-3, a 330 million parameter time series foundation model that forecasts multiple related series in a single forward pass. Every TimesFM checkpoint through 2.5 was univariate: one series, its own history, nothing else. TimesFM-3 is pretrained natively…...

MarkTechPost
marktechpost.com > 08/28/2026 > glm-5-3-flash-vs-qwen3-8-flash-next-two-chinese-ai-labs-independently-converge-on-the-same-model-architecture

GLM-5.3-Flash vs Qwen3.8-Flash-Next: Two Chinese AI Labs Independently Converge on the Same Model Architecture

1+ week, 6+ day ago   (384+ words) Two frontier open-weight models shipped within a day of each other this week. Z.ai released GLM-5.3-Flash, a 320B-parameter multimodal MoE model with 18B active parameters. Alibaba’s Qwen team released Qwen3.8-Flash-Next, a 125B model with 6B active parameters that previews the Qwen4 architecture. GLM…...

MarkTechPost
marktechpost.com > 08/26/2026 > z-ai-releases-glm-5-3-flash-a-320b-a18b-natively-multimodal-moe-with-a-1m-token-context

Z.ai Releases GLM-5.3-Flash: A 320B-A18B Natively Multimodal MoE With a 1M-Token Context

2+ week, 1+ day ago   (155+ words) Yes, on two tracks. The weights are live on Hugging Face under an MIT license, and a hosted API is already priced and serving. GLM-5.3-Flash starts from a newly trained base model on a 30T-token multimodal corpus. Three changes…...

MarkTechPost
marktechpost.com > 08/26/2026 > alibabas-qwen-team-releases-qwen3-8-flash-next-a-125b-multimodal-moe-with-6b-active-parameters-previewing-the-qwen4-architecture > amp

Alibaba's Qwen Team Releases Qwen3.8-Flash-Next: A 125B Multimodal MoE With 6B Active Parameters Previewing the Qwen4 Architecture

2+ week, 1+ day ago   (336+ words) Yes but not on a workstation. The FP8 checkpoint is 172.78 GiB and the BF16 checkpoint is 335.28 GiB. Per vLLM recipes, TP2 is the minimum validated FP8 configuration on GB300 and TP4 is recommended. On an 8×H200 node, use TEP8; plain TP8 is incompatible with the checkpoint’s 128-wide quantization blocks....

MarkTechPost
marktechpost.com > 08/25/2026 > ibm-releases-granite-4-2-bringing-native-reasoning-and-agentic-rl-to-open-enterprise-models > amp

IBM Releases Granite 4.2: Bringing Native Reasoning and Agentic RL to Open Enterprise Models

2+ week, 2+ day ago   (303+ words) Yes, All three Granite 4.2 language models ship under Apache 2.0, so download, fine-tuning, and commercial production use carry no licensing gate. Granite 4.2 is a decoder-only dense transformer, not a hybrid or MoE design. Core components are Grouped Query Attention with 8 KV…...

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