Claude
Claude is een krachtige AI-assistent die is ontwikkeld door Anthropic. Het kan worden gebruikt voor een breed scala aan taken, zoals het schrijven van teksten, het beantwoorden van vragen, het maken van analyses en het genereren van ideeën.
Bezoek ClaudeClaude is het meest waardevol voor professionals, studenten en hobbyisten die efficiënt en creatief willen werken met behulp van geavanceerde AI-technologie.
Use cases
- Tekstgeneratie
- Vraagbeantwoording
- Analyse en onderzoek
- Ideegeneratie
Sterk
- Veelzijdigheid
- Hoge nauwkeurigheid
- Snelle responstijd
Beperkingen
- Afhankelijk van internetconnectiviteit
Prijzen
Gratis
YouTube
In het nieuws
Claude Mythos Preview: Breakthrough, Hype, or Both?
submitted by /u/AnyYak5018 [link] [comments]
Claude Sonnet 4.5 vs GPT-4o vs Gemini 1.5 Pro — I Tested All Three on Real Backend Problems
Which AI model actually understands connection pooling, transaction isolation, and why your Redis cluster is slow. Continue reading on Engineering Playbook »
Self-hosted coding CLI on a $500 GPU matches Claude Sonnet on LiveCodeBench (V3.0.1 release)
ATLAS V3.0.1 shipped yesterday . It's an open-source coding CLI I found that runs entirely on a single consumer GPU with a frozen 9B Qwen3 model- no fine-tuning, no cloud, no API costs. The original V
Arcee AI spent half its venture capital to build an open reasoning model that rivals Claude Opus in agent tasks
US start-up Arcee AI spent roughly half its total venture capital to train Trinity-Large-Thinking, an open reasoning model with 400 billion parameters designed to take on Claude Opus in agent tasks. T
Is the Claude Model Unstable Today?
This only started to happen today. When I select the "Claude Sonnet 4.6 Thinking" model, the output generated was much simpler and even asked "Would you like to..." at the end, which NEVER appears in
The $500 GPU That Outperforms Claude Sonnet on Coding Benchmarks
A $500 RTX 5070 running Qwen 3.5 Coder 32B now outperforms Claude Sonnet 4.6 on HumanEval. The margin is small (92.1% vs 89.4%), but the implications are massive. Local inference at 40 tokens per seco