TGTGInsighttelegram intelligenceLIVE / telegram public index
← GitHub Trends

TGINSIGHT SIMILAR POSTS

Find similar content

Source channel @githubtrending · Post #14717 · May 18

#jupyter_notebook Learning about Large Language Models (LLMs) can be very beneficial. You can build exciting projects over eight weeks, starting with simple tasks and moving to more complex ones. This journey helps you develop deep expertise in AI and LLMs. You'll learn by doing hands-on projects, which is a fun and effective way to understand how these models work. By the end, you'll have skills that can be used in real-world applications, making it a valuable learning experience. https://github.com/ed-donner/llm_engineering

Results

1 similar post found

Search: #quantumhardware

当前筛选 #quantumhardware清除筛选
Crypto M - Crypto News

@CryptoM · Post #64491 · 04/09/2026, 03:01 AM

🚀 Bitcoin Developer Adam Back Addresses Quantum Computing Concerns Bitcoin developer Adam Back has dismissed fears of a quantum computing crisis, asserting that humanity has at least a decade to prepare. According to Bitalk News, Back emphasized that current quantum hardware is still in its infancy, lacking error correction capabilities, and has only achieved basic calculations such as elementary-level factorization. He noted that Google's recent paper merely improved algorithms without any hardware breakthroughs. Back reassured that Bitcoin has ample time to adapt, with Liquid serving as a Layer 2 testing ground that has historically been adopted by the Bitcoin main chain after new signature formats were introduced. He argued that genuine solutions are already in progress, and that media-driven panic is more about selling headlines than reflecting technical realities. #Bitcoin#AdamBack#QuantumComputing#BitcoinDeveloper#Liquid#Layer2#SignatureFormats#ErrorCorrection#QuantumHardware#BitalkNews#Panic#TechnicalRealities#BTC