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How are you, hacker? 🪐 What’s happening in tech today, December 30, 2024? The HackerNoon Newsletter brings the HackerNoon homepage straight to your inbox. On this day, The Farthest South in the Antarctica is Reached in 1902, The Union of Soviet Socialist Republics (USSR) is formed in 1922, and we present you with th...

We study the problem of single-image zero-shot 3D shape reconstruction. We design a strong regression-based model, called ZeroShape. We also curate a large real-world evaluation benchmark. We show that ZeroShape achieves superior performance over state-of-the-art methods.

Exited vertical SaaS founder provides a deep dive into lessons from building AI products for traditional sectors.

Cineflicks is the world’s first incentivised streaming OTT platform, combining entertainment with crypto rewards. The “watch-to-earn” system reimagines audience engagement by rewarding users based on time spent viewing rather than relying solely on subscription fees. The platform’S launch will be preceded by a presale of CNF Tokens, allowing early supporters to invest and gain a stake in Cinefricks’ future.

MEXC announces the launch of its exclusive SVIP New Year Trading Fee Promotion. MEXC's SVIP program offers the lowest fees in the industry: Futures: 60% discount on both Maker and Taker fees. Spot: 60%.

Fastex is a web 3.0 solution-based ecosystem built to deliver multiple centralized and decentralized solutions for advanced technological experience.

Researchers in Poland have developed an open-source tool that improves the evaluation and comparison of AI used in natural language preprocessing.

Researchers in Poland have developed an open-source tool that improves the evaluation and comparison of AI used in natural language preprocessing.

Researchers in Poland have developed an open-source tool that improves the evaluation and comparison of AI used in natural language preprocessing.

Researchers in Poland have developed an open-source tool that improves the evaluation and comparison of AI used in natural language preprocessing.

Researchers in Poland have developed an open-source tool that improves the evaluation and comparison of AI used in natural language preprocessing.

Researchers in Poland have developed an open-source tool that improves the evaluation and comparison of AI used in natural language preprocessing.

Researchers in Poland have developed an open-source tool that improves the evaluation and comparison of AI used in natural language preprocessing.

Researchers in Poland have developed an open-source tool that improves the evaluation and comparison of AI used in natural language preprocessing.

Researchers in Poland have developed an open-source tool that improves the evaluation and comparison of AI used in natural language preprocessing.

Researchers in Poland have developed an open-source tool that improves the evaluation and comparison of AI used in natural language preprocessing.

We evaluate the performance of vLLM with basic sampling (one sample per request) on three models and two datasets.

How are you, hacker? 🪐 What’s happening in tech today, December 29, 2024? The HackerNoon Newsletter brings the HackerNoon homepage straight to your inbox. On this day, The HMS Warrior is Launched in 1860, The Apex of the Japanese Asset Price Bubble Occured in 1989, The UK settled its Anglo-American, post WWII loan d...

Supplementing financial incentives with something intangible helps make employees more loyal to the company and maintains their productivity over the long term.

In the second part of this blog we see how Databricks enable us for batch deployment and online serving. We spend some time on how to setup data and model monitoring dashboards.

How are you, hacker? 🪐Want to know what's trending right now?: The Techbeat by HackerNoon has got you covered with fresh content from our trending stories of the day! Set email preference here. RootstockCollective In-Depth: Empowering Bitcoin Builders By @rootstock_io [ 7 Min read ] Empowering Bitcoin builders with ...

Blockchain contracts protect option holders by ensuring fairness, allowing flexible exercises, and compensating users if the option exercise fails.

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