Revolutionizing AI: Introducing Deep Kogito Models by Kogito
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In the realm of artificial intelligence, a new player has emerged, and they go by the name of Kogito. Their creation, Deep Kogito, has set the benchmark on fire, leaving DeepSeek R1's model in the dust. Inspired by Alpha Zero, Kogito introduces an innovative technique known as iterated distillation and amplification, aiming for super intelligence without any upper limits. This American-based company is not here to play it safe, no sir. They've unleashed models ranging from 3 billion to a whopping 70 billion parameters, each one a powerhouse in reasoning and non-reasoning tasks, surpassing the competition with style and finesse.
Kogito's approach is bold and unapologetically ambitious. They optimize their models for coding functions, agentic use cases, and standard as well as reasoning modes. Unlike the conventional focus on long reasoning chains, Kogito's models are designed to adapt swiftly to real-world tasks, providing users with efficient solutions without unnecessary delays. Their alignment technique, backed by references to past research, showcases a commitment to pushing the boundaries of AI innovation, not just following the herd but leading the charge towards a new era of intelligent models.
To get your hands on these cutting-edge models, Kogito offers easy access through platforms like Hugging Face and Olama. Whether you're tuning hyperparameters for extended thinking mode or testing the model's capabilities in generating specific content like tweets, Kogito's creations stand ready to impress. While challenges may arise, such as generating precise outputs, the potential displayed by Kogito's models hints at a promising future in the AI landscape. With a focus on real-world performance and a drive to innovate, Kogito is a force to be reckoned with, challenging the status quo and setting new standards in the field of artificial intelligence.
Image copyright Youtube
Image copyright Youtube
Image copyright Youtube
Image copyright Youtube
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Model comes in 3 different sizes
Testing the 32B size
Mention of Llama 4 and Deepseek's V3/R1 models for bigger sizes
Comparison with Gemma 3 27b model
Reference to "Cogito, ergo sum"
Issue with Cogito's thinking in Ollama with a knowledge source
Audio quality complaint
Mention of fine-tuning specific layers for performance
Inquiry about the location of the person in the video
Criticism about audio hissing and lack of video confirmation before uploading
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