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Perplexity AI Open-Sources Unigram Tokenizer That Achieves 5x Lower p50 Latency Than Hugging Face tokenizers Crate
ByRicardo May 28, 2026May 28, 2026

Perplexity AI’s analysis crew reimplemented their Unigram tokenizer from scratch in Rust and open-sourced the code in pplx-garden, their inference expertise repository. At manufacturing enter lengths, the brand new encoder cuts p50 latency by roughly 5x versus the Hugging Face tokenizers crate, ~2x versus SentencePiece (C++), and ~1.5x versus IREE’s tokenizer (C), with zero steady-state…

Read More Perplexity AI Open-Sources Unigram Tokenizer That Achieves 5x Lower p50 Latency Than Hugging Face tokenizers Crate
AI Infrastructure AI Shorts

Meet EAGLE 3.1: The Speculative Decoding Algorithm That Fixes Attention Drift in LLM Inference
ByRicardo May 27, 2026May 27, 2026

Speculative decoding is a way for dashing up massive language mannequin inference. A small, quick draft mannequin proposes a number of tokens. The massive goal mannequin verifies them in parallel. If accepted, inference is quicker. If rejected, the system falls again gracefully. EAGLE Team, vLLM Team, and TorchSpec Team has launched the EAGLE collection together…

Read More Meet EAGLE 3.1: The Speculative Decoding Algorithm That Fixes Attention Drift in LLM Inference
AI Paper Summary AI Shorts

MEMO: A Modular Framework for Training a Dedicated Memory Model on New Knowledge Without Modifying LLM Parameters
ByRicardo May 27, 2026

Large language fashions grow to be static after pretraining. Their data doesn’t replace because the world adjustments. Retraining a full LLM is just too costly at trendy scales. Fine-tuning dangers degrading beforehand discovered data. Retrieval-augmented era (RAG) struggles when solutions require reasoning throughout many paperwork. A crew of researchers from the National University of Singapore,…

Read More MEMO: A Modular Framework for Training a Dedicated Memory Model on New Knowledge Without Modifying LLM Parameters
AI Infrastructure AI Shorts

Together AI Open-Sources OSCAR: An Attention-Aware 2-Bit KV Cache Quantization System for Long-Context LLM Serving
ByRicardo May 25, 2026May 25, 2026

Long-context inference makes the KV cache one of many principal prices of serving LLMs. During autoregressive decoding, the cache grows with context size, batch measurement, and mannequin depth. At excessive batch sizes and lengthy contexts with 100K tokens throughout dozens of concurrent requests the KV cache consumes a big fraction of GPU reminiscence. Compressing it’s…

Read More Together AI Open-Sources OSCAR: An Attention-Aware 2-Bit KV Cache Quantization System for Long-Context LLM Serving
AI Shorts Applications

WorkOS Releases auth.md: An Open Agent Registration Protocol Built on OAuth Standards
ByRicardo May 25, 2026

For years, authentication on the online adopted one design assumption: a human sits behind a browser. Click a button. Fill out a kind. Verify an e mail. Copy an API key and paste it some place else. That mannequin doesn’t work when the consumer is delegating work to an agent. Agents are already writing code,…

Read More WorkOS Releases auth.md: An Open Agent Registration Protocol Built on OAuth Standards
Agentic AI AI Shorts

Microsoft Releases Fara1.5: A Family of Browser Computer-Use Agents (4B/9B/27B) That Outperform OpenAI Operator and Gemini 2.5 Computer Use on Online-Mind2Web
ByRicardo May 22, 2026

Microsoft Research’s AI Frontiers lab launched Fara1.5. It is a household of computer-use agent (CUA) fashions for the browser. The launch ships three sizes: Fara1.5-4B, Fara1.5-9B, and Fara1.5-27B. The fashions are built-in with MagenticLite, Microsoft’s sandboxed browser interface for these brokers. Computer-use brokers are pixel-to-action fashions that drive an actual browser. They learn screenshots and…

Read More Microsoft Releases Fara1.5: A Family of Browser Computer-Use Agents (4B/9B/27B) That Outperform OpenAI Operator and Gemini 2.5 Computer Use on Online-Mind2Web
Agentic AI AI Shorts

Build Recurrent-Depth Transformers with OpenMythos for MLA, GQA, Sparse MoE, and Loop-Scaled Reasoning
ByRicardo May 22, 2026

In this tutorial, we discover OpenMythos by constructing a sophisticated recurrent-depth transformer workflow that runs end-to-end in Google Colab. We create each MLA and GQA mannequin variants, evaluate their parameter counts, and verify the soundness of the recurrent injection matrix via its spectral radius. We then transfer from easy ahead and technology checks into an…

Read More Build Recurrent-Depth Transformers with OpenMythos for MLA, GQA, Sparse MoE, and Loop-Scaled Reasoning
Agentic AI AI Shorts

Qwen Introduces Qwen3.7-Max: A Reasoning Agent Model With a 1M-Token Context Window
ByRicardo May 21, 2026

Most AI fashions in the present day usually are not designed for sustained, multi-step autonomous execution. Tasks like working a whole lot of iterative code modifications, or chaining instrument calls throughout hours with out human intervention, require a completely different form of mannequin structure and coaching focus. Alibaba’s Qwen group formally introduced Qwen3.7-Max on the…

Read More Qwen Introduces Qwen3.7-Max: A Reasoning Agent Model With a 1M-Token Context Window
Agentic AI AI Shorts

Cohere Releases Command A+: A 218B Sparse MoE Model for Agentic Workflows That Runs on as Few as Two H100 GPUs
ByRicardo May 21, 2026

Cohere simply launched Command A+, as an open-source mannequin focusing on enterprise agentic workflows. Available beneath an Apache 2.0 license, Command A+ is a mixture-of-experts (MoE) mannequin constructed for high-performance agentic duties with minimal compute overhead. The mannequin is optimized for reasoning, agentic workflows, RAG, multilingual, and multimodal doc processing. It unifies capabilities from 4…

Read More Cohere Releases Command A+: A 218B Sparse MoE Model for Agentic Workflows That Runs on as Few as Two H100 GPUs
AI Infrastructure AI Shorts

What is a Forward Deployed Engineer: The AI Role OpenAI, Anthropic, and Google Are Hiring in 2026
ByRicardo May 21, 2026May 21, 2026

What is a Forward Deployed Engineer? The time period ‘Forward Deployed Engineer’ (FDE) sounds navy. That is intentional. A Forward Deployed Engineer is a software program engineer who works embedded with the client’s technical and operational surroundings on-site, hybrid, distant, or inside a buyer cloud or VPC, relying on the engagement. The FDE doesn’t sit…

Read More What is a Forward Deployed Engineer: The AI Role OpenAI, Anthropic, and Google Are Hiring in 2026

AI Shorts

Perplexity AI Open-Sources Unigram Tokenizer That Achieves 5x Lower p50 Latency Than Hugging Face tokenizers Crate

Meet EAGLE 3.1: The Speculative Decoding Algorithm That Fixes Attention Drift in LLM Inference

MEMO: A Modular Framework for Training a Dedicated Memory Model on New Knowledge Without Modifying LLM Parameters

Together AI Open-Sources OSCAR: An Attention-Aware 2-Bit KV Cache Quantization System for Long-Context LLM Serving

WorkOS Releases auth.md: An Open Agent Registration Protocol Built on OAuth Standards

Microsoft Releases Fara1.5: A Family of Browser Computer-Use Agents (4B/9B/27B) That Outperform OpenAI Operator and Gemini 2.5 Computer Use on Online-Mind2Web

Build Recurrent-Depth Transformers with OpenMythos for MLA, GQA, Sparse MoE, and Loop-Scaled Reasoning

Qwen Introduces Qwen3.7-Max: A Reasoning Agent Model With a 1M-Token Context Window

Cohere Releases Command A+: A 218B Sparse MoE Model for Agentic Workflows That Runs on as Few as Two H100 GPUs

What is a Forward Deployed Engineer: The AI Role OpenAI, Anthropic, and Google Are Hiring in 2026

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