AutoVRse

We are super excited to announce the official list of winners in the Asia region!

Startups Of The Year 2023: Asia Winners

Explaining the role of logits and the softmax function in converting the output vector into a final probability distribution for the next token.

Autoregressive Vision-LLMs: A Simplified Mathematical Formulation

Presents a new autoregressive model for time series in Hadamard spaces, enabling estimation, testing, and inference for random objects beyond Euclidean data.

An Autoregressive Model for Time Series of Random Objects: Abstract and Introduction

AutoResponder AI automates email replies using AWS & AI. Streamline inbox management, boost productivity, and stay responsive with this serverless Gmail assista

AutoResponder AI: The Smart Way to Manage Your Gmail Inbox

Mamba sets a new benchmark for audio waveform modeling and autoregressive speech generation, surpassing SaShiMi and other models. 

Study Demonstrates Mamba’s Breakthrough Performance in Autoregressive Speech Generation

Recently, neural audio codec model, have replaced conventional acoustic representations with a high-compressed audio codec.

Neural Codec Language Models and Non-Autoregressive Models Explained

Once trained, LLMs are often deployed as a conditional generation service (e.g., completion API [34] or chatbot.

LLM Service & Autoregressive Generation: What This Means

I’m running geth and <a href="http://themillionetherhomepage.com/0xF51f08910eC370DB5977Cff3D01dF4DfB06BfBe1" target="_blank">TheMillionEtherHomepage.com</a> back-end on a low-cost Digital Ocean (DO) Ubuntu droplet. I use <strong>monit</strong> to autorestart geth and send email alerts when something goes wrong with the processes.

How to monitor geth and autorestart it on crashes with monit

Groq’s Deterministic Architecture is Rewriting the Physics of AI Inference. How Nvidia Learned to Stop Worrying and Acquired Groq


Groq’s Deterministic Architecture is Rewriting the Physics of AI Inference

Building a Scalable Multi-Language AI Document Analyzer with Node.js, Python, RabbitMQ, and Celery.

Supercharging AI Workflows: Distributed Document Processing with Node.js, Python, and RabbitMQ

Token prediction forces LLMs to drift. This piece shows why, what Zeno can teach us about it, and how fidelity-based auditing could finally keep models grounded

Zeno’s Paradox and the Problem of AI Tokenization

Datadog introduces Toto, an AI model for time series forecasting that boosts accuracy, reliability, and responsible observability.

Toto: Time Series Optimized Transformer for Observability

Discover how Toto achieved state-of-the-art results in AI forecasting, surpassing leading zero-shot and full-shot models.

Toto AI Model Sets New Benchmark for Time Series Forecasting

This article compares a novel denoising diffusion model for code generation (Tree-Diffusion) against two baseline methods, CSGNet and REPL Flow. 

The New Standard for Program Synthesis: How Tree-Diffusion Outperforms CSGNet and REPL Flow

Multimodal hyper-embeddings enable strong cross-task transfer; tiny tuned modules match or beat full fine-tunes on unseen domains.

Cut 90% of Fine-Tuning Cost—Still Beat Baselines on Text and Vision Benchmarks

This post will examine four key vocoders: WaveNet, WaveGlow, HiFi‑GAN, and FastDiff. We’ll explain how each model works and what makes them different. Most impo

Inside the Neural Vocoder Zoo: WaveNet to Diffusion in Four Audio Clips

EIP-4844 cuts rollup costs but raises new risks for Ethereum’s consensus. Explore its impact on security, fees, and the blob gas market.

How Proto-Danksharding Impacts Ethereum Consensus and Rollups

Generate singing vocals and 3D human motions directly from lyrics with RapVerse, a unified AI framework that sets new benchmarks in multimodal generation.

A Single Prompt Will Have This AI Rapping and Dancing

Crypto prices drive virtual land booms. This article explores the wealth effect between tokens and NFTs in the metaverse—and its risks.

What Virtual Real Estate Prices Tell Us About Cryptocurrency Bubbles

To create new Web3 applications that are scalable and user-friendly, there is a need to overcome the constraints of public infrastructure. 

How to Build a Fast Web3 dApp with GetBlock’s Free RPC

Idefics2, an efficient 8B vision-language model, sets new multimodal AI benchmarks—while its release, dataset, and red-teaming highlight progress and risks.

How an 8B Open Model Sets New Standards for Safe and Efficient Vision-Language AI

Idefics2, an 8B vision-language AI, uses top-notch pre-training, robust filtering, and dynamic fine-tuning to beat rivals—even those four times bigger.

The Small AI Model Making Big Waves in Vision-Language Intelligence

Autoregressive VLMs, efficient token pooling, and smart image splitting boost AI performance, offering flexible, cost-effective multimodal solutions.

The Artistry Behind Efficient AI Conversations

Design choices in Vision-Language Models (VLMs)—especially backbone selection—greatly impact performance, with better models outperforming larger ones.

Why The Right AI Backbones Trump Raw Size Every Time

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Startups Of The Year 2023: Asia Winners

Autoregressive Vision-LLMs: A Simplified Mathematical Formulation

An Autoregressive Model for Time Series of Random Objects: Abstract and Introduction

AutoResponder AI: The Smart Way to Manage Your Gmail Inbox

Study Demonstrates Mamba’s Breakthrough Performance in Autoregressive Speech Generation

Neural Codec Language Models and Non-Autoregressive Models Explained

LLM Service & Autoregressive Generation: What This Means

How to monitor geth and autorestart it on crashes with monit

Groq’s Deterministic Architecture is Rewriting the Physics of AI Inference

Supercharging AI Workflows: Distributed Document Processing with Node.js, Python, and RabbitMQ

Zeno’s Paradox and the Problem of AI Tokenization

Toto: Time Series Optimized Transformer for Observability

Toto AI Model Sets New Benchmark for Time Series Forecasting

The New Standard for Program Synthesis: How Tree-Diffusion Outperforms CSGNet and REPL Flow

Cut 90% of Fine-Tuning Cost—Still Beat Baselines on Text and Vision Benchmarks

Inside the Neural Vocoder Zoo: WaveNet to Diffusion in Four Audio Clips

How Proto-Danksharding Impacts Ethereum Consensus and Rollups

A Single Prompt Will Have This AI Rapping and Dancing

What Virtual Real Estate Prices Tell Us About Cryptocurrency Bubbles

How to Build a Fast Web3 dApp with GetBlock’s Free RPC

How an 8B Open Model Sets New Standards for Safe and Efficient Vision-Language AI

The Small AI Model Making Big Waves in Vision-Language Intelligence

The Artistry Behind Efficient AI Conversations

Why The Right AI Backbones Trump Raw Size Every Time

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