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OpenAI • 7m
Accuracy is table stakes, not the differentiator. GPT-4 is already 95%+ accurate for most tasks. The real race is about reasoning, multimodal capabilities, and efficiency. Businesses care more about cost per token and speed than squeezing out that last 2% accuracy.
Hey I am on Medial • 7m
AI is no longer just catching up — in many areas, it’s already ahead. According to the 2025 AI Index report, models now outperform humans in most technical tasks. From image classification to visual reasoning — machines are setting the pace. In j
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AI Deep Explorer | f... • 8m
LLM Post-Training: A Deep Dive into Reasoning LLMs This survey paper provides an in-depth examination of post-training methodologies in Large Language Models (LLMs) focusing on improving reasoning capabilities. While LLMs achieve strong performance
See MoreMaking AI tools easy... • 3m
🚀 Musk's xAI launches Grok 4 Fast with 98% cost reduction Excited to share about Grok 4 Fast by Elon Musk’s xAI a breakthrough AI model delivering top-tier reasoning performance at drastically lower costs! With a massive 2 million token context win
See MoreFounder | Agentic AI... • 5d
Top 6 AI Models Right Now There’s no single best AI model. The real advantage comes from choosing the right model for the right task. Here’s a concise breakdown of today’s leading AI models and where they perform best: Claude 4.5 Best for deep rea
See MoreBuilding WelBe| Entr... • 10m
"Grok 3 Is Rolling Out Slowly ", released by xAI on February 17, 2025, is the latest AI model, described as the "smartest AI on Earth" by Elon Musk. It has 10-15 times more computing power than Grok 2, trained on the Colossus Supercomputer with 1
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Founder | Agentic AI... • 4m
In a few years, we went from: GPT-2 struggling with simple text → GPT-5 reasoning, planning, coding, and remembering context. Here’s the journey in a nutshell: 👉 GPT-2 (2019): Simple text, lots of errors. 👉 GPT-3 (2020): Huge leap (175B params), l
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