I recently published a post on Mastodon that was shared by six other accounts within two minutes. Curious, I visited the profiles and…

Programming is an exciting field full of opportunities for learning and growth. However, for beginners, it can feel overwhelming at times…

As in OS’s virtual memory, vLLM does not require reserving the memory for the maximum possible generated sequence length initially.

In this paper, we introduce LLaVA-ϕ, an efficient multi-modal assistant that harnesses the power of the recently advanced small language model, Phi-2

The key idea behind vLLM’s memory manager is analogous to the virtual memory [25] in operating systems.

In this work, we develop a new attention algorithm, PagedAttention, and build an LLM serving engine, vLLM, to tackle the challenges outlined in §3

Due to the unpredictable output lengths from the LLM, they statically allocate a chunk of memory for a request based on the request’s maximum possible sequence

12/28/2024: Top 5 stories on the HackerNoon homepage!

The serving system’s throughput is memory-bound. Overcoming this memory-bound requires addressing the following challenges in memory management

Discover how blockchain contracts ensure fairness, flexibility, and compensation, protecting option holders in case of failure or disputes.

Explore the robust proofs behind transfer protocols in cross-chain transactions.

vLLM implements various decoding algorithms using three key methods: fork, append, and free.

Our overall network architecture is similar to LLaVA-1.5. We use the pre-trained CLIP ViT-L/14 with a resolution of 336x336

4DX is technological advance in the film arena taking and transforming standard movie watching. The invention of 4DX resulted from a South Korean company, CJ 4DPLEX. 4DX brings together motion seats…

Domestika Course Notes from Unit 2, Video 1: Variables and Functions

vLLM is effective in distributed settings by supporting the widely used Megatron-LM style tensor model parallelism strategy on Transformers

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In vLLM, we adopt the first-come-first-serve (FCFS) scheduling policy for all requests, ensuring fairness and preventing starvation.

The dream of AI churning out perfect production-ready code doesn’t hold up against the reality of modern software development.

The rapid advancements in Large Language Models (LLMs) have significantly propelled the development of vision-language models based on LLMs.