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AI Development in 2024: A Year of Transformation
2024 was a turning point for developers; AI evolved from coder to collaborator, reshaping roles, workflows, and the entire software development landscape.
AWS re:Invent 2024: The Infrastructure Race Gets More Interesting
AWS is reshaping AI development with groundbreaking automation, democratizing model access, streamlining workflows, and ensuring trust through rigorous verification, challenging developers to adapt or fall behind.
Revolutionizing AI Infrastructure: SambaNova SN40L & Composition of Experts (CoE)
Developers, stop obsessing over APIs! The game is won at the hardware level. SambaNova's SN40L transforms AI efficiency, leaving behind outdated models. Embrace this revolution or be left in the dust!
AWS re:Invent 2024 Keynote Deep Dive (Continued): Infrastructure at Scale
Apple's AWS collaboration is revolutionizing AI infrastructure, with staggering efficiency gains and groundbreaking storage advancements, proving that innovation thrives when giants combine their strengths. Stay tuned.
AWS re:Invent 2024 Keynote Highlights: CEO Matt Garman’s Opening Session
At AWS re:Invent 2024, CEO Matt Garman unveiled a $1 billion startup investment and groundbreaking AI infrastructure, emphasizing AWS's transformative role in tech evolution.
Why Most AI Doom Scenarios for Devs Are Wrong
The conversation around AI and developer automation misses a crucial point: the tussle between automation's pace and capital investment decides whether developers thrive or face obsolescence. It's time to wake up and act!
latest articles
Introducing Multimodal Llama 3.2 – Part 1
Llama 3.2 revolutionizes AI with its striking fusion of vision and language, propelling open-source innovation. This versatile model redefines applications, challenging developers to embrace…
Quantization in depth: Free AI Course
Welcome to this free AI course on Quantization in Depth! This AI course is for AI developers, data scientists, and enthusiasts. As models grow bigger and more complex, deploying them on…
Practical and Advanced Techniques for Quantizing Weights and Activations – Part 5
Unlock the potential of quantization—slashing model size while boosting speed. Master these techniques to make AI efficient enough for real-world devices. Embrace the future!
Understanding and Applying Granularity in AI Quantization – Part 4
Granularity is the key to mastering AI quantization. Choose wisely between per-tensor, per-channel, and per-group methods to strike an explosive balance of precision, efficiency, and model…
Symmetric vs. Asymmetric Quantization Modes – Part 3
Symmetric quantization simplifies models for quicker deployment, while asymmetric quantization offers precision in skewed data. Choose wisely; your model's efficiency hangs in the balance.
Understanding Scale and Zero Points in Quantization – Part 2
Scale and zero points are the unsung heroes of quantization, crucial for balancing model efficiency and accuracy—ignore them, and your AI might just crash and burn.
Introduction to Quantization in Deep Learning – Part 1
Quantization is the secret weapon of deep learning, cutting model size and boosting efficiency for resource-strapped devices. But beware: precision loss is the trade-off lurking in the shadows.
Planning and Stock Report Generation with AutoGen (Free AI Course – Part 6)
Join us for the thrilling conclusion of our Free Ai course on AI-Agentic Design Patterns with AutoGen! We'll uncover the secrets of coordinating a team of diverse agents to craft a compelling…
Building an Interactive Chess Game with AutoGen (Free AI Course – Part 5)
Unleash the Power of Multi-Agent Systems with AutoGen
Embark on an interactive journey as we delve into using conversational agents to create a captivating chess game. Witness the prowess of…
Advanced Reflection Techniques: How to write High-Quality Blog Posts with AutoGen (Free AI Course – Part 4)
Dive into the world of AI content creation with our Free AI Course! Unleash the power of reflection agentic design patterns and nested chat for top-notch, SEO-friendly, and ethically sound…