HackerNoon is pleased to announce the nominees for Startups of The Year, featuring the most innovative companies in the Manufacturing Industry.

Learn how to scrape real estate listings from Domain.com.au using an Apify actor. Extract property details, pricing, agent info, and more.

As we step into the final quarter of 2024, the Sia ecosystem continues to evolve with the ongoing development of its core components and…

Thinking of moving from Big Tech (Google, Meta, etc.) to an early-stage startup? Here’s my take on the key mindset shifts you should focus on.

An engineering manager's job is to enable others to do bigger, better things.

I increased my Domain Rating from 0 to 26 in just a few months.

HackerNoon is pleased to announce the nominees for Startups of The Year, featuring the most innovative companies in the Sutton.

Learn how to set up a custom domain with HTTPS on Heroku in just a few minutes, so that you can take advantage of HTTP/2 support for better site performance.

I give myself permission to lean into the cluelessness.

Experiential avoidance is the root of suffering

Being sober is hard

In the fifth post of the #30DaysOfSwift series, we’ll focus on creating a Launch Screen for your app.

In the seventh post of the #30DaysOfSwift series, I am sharing about Canny.io—a great tool for collecting user feedback and tracking feature requests.

Discover how AnLLMs perform across various benchmarks, including OpenBookQA and BoolQ.

Discover the training procedure for AnLLMs using the RedPajama-Data-1TSample dataset, featuring 850,000 samples and 1 billion tokens.

Explore the implementation of AnLLM, featuring two strategies for anchor token selection: using punctuation marks and introducing a new token.

Discover how anchor tokens can optimize the inference process in LLMs by enhancing the keys/values caching mechanism.

Introducing anchor-based attention masks that optimize self-attention in LLMs by controlling how tokens access information across sequences.

Explore the inner workings of decoder-only transformers in LLMs, focusing on self-attention networks and the challenges of keys/values caching during inference.

Discover how our research extends in-context learning by introducing anchor tokens for sequence compression in LLMs.

Learn how anchor-based LLMs compress sequence information to reduce memory demand and boost inference speed.