Saturday, January 4, 2025

DM Television

Should you post to all social media at once? (TL;DR: Probably not)

Saturday, January 4, 2025

Pro-crypto lawyer John Deaton offers to probe Operation Chokepoint 2.0
Not investigating Operation Chokepoint 2.0 would create a dangerous precedent where regulatory bodies can suppress whoever they disfavor, Deaton stressed....

Elon Musk announces change to X algorithm, faces backlash
In response to the planned change, independent journalist James Li asked Musk, "How does the algorithm determine 'negativity'?"...

Litecoin Sees 2M Bollinger Bands Tighten – What A Move Above $130 Will Mean For Price
Litecoin (LTC) has been experiencing a significant decrease in volatility, with a crypto analyst highlighting an unusual tightening in its bi-monthly (2M) Bollinger Bands (BB). According to an analyst...

SUI Breakout Alert: Strong Momentum Puts $4.98 Key Level In Focus
SUI climbing to $4.98 marks a critical juncture in its market journey, igniting speculation about its ability to breach this key resistance level. This upward momentum has captured the attention of tr...

Solana Price Will Complete 1,800% Surge To $4,000 With This Formation: Analyst
Recent market price action in the past 48 hours has brought up bullish talks for cryptocurrencies, with assets like Solana taking up center stage. In the case of Solana, crypto analyst Ali Martinez ha...

Why Is JavaScript Benchmarking a Mess?
I hate benchmarking code, just like any human (which, at this point, most viewers of this probably aren’t ¯\(ツ)/¯). It is much more fun to pretend that your caching of a value increased performa...

PagedAttention and vLLM Explained: What Are They?
Table of Links Abstract and 1 Introduction 2 Background and 2.1 Transformer-Based Large Language Models 2.2 LLM Service & Autoregressive Generation 2.3 Batching Techniques for LLMs 3 Memory Challenges...

General Model Serving Systems and Memory Optimizations Explained
Table of Links Abstract and 1 Introduction 2 Background and 2.1 Transformer-Based Large Language Models 2.2 LLM Service & Autoregressive Generation 2.3 Batching Techniques for LLMs 3 Memory Challenges...

Applying the Virtual Memory and Paging Technique: A Discussion
Table of Links Abstract and 1 Introduction 2 Background and 2.1 Transformer-Based Large Language Models 2.2 LLM Service & Autoregressive Generation 2.3 Batching Techniques for LLMs 3 Memory Challenges...

Evaluating vLLM's Design Choices With Ablation Experiments
Table of Links Abstract and 1 Introduction 2 Background and 2.1 Transformer-Based Large Language Models 2.2 LLM Service & Autoregressive Generation 2.3 Batching Techniques for LLMs 3 Memory Challenges...

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January

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