Shivam Kumar Teli (5 results)

Taschenbuch. Condition: Neu. Neuware - Some vows are meant to be kept. Others are meant to be survived.In a world shaped by fire, power, and ancient secrets, a forgotten vow is about to awaken.When the past refuses to stay buried, an unlikely hero is drawn into a dangerous struggle where loyalty has a price, old powers are stirring, and the line between destiny and destruction begins to disappear.Bound by an oath that could change everything, they must face enemies who will stop at nothing to claim the power hidden within the ashes. But every secret uncovered brings them closer to a terrifying truth-and breaking the vow may be the only way to survive.The Ashborn Vow is a dark fantasy of fire, fate, forbidden power, betrayal, and sacrifice, where ancient mysteries collide with a destiny no one can escape.The ashes remember.The vow remains.And something is coming.Enter a world where every promise has a price.…

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Taschenbuch. Condition: Neu. Neuware - What if the fundamental building block of modern AI is wrong For more than a decade, artificial intelligence has been built on tokens-small fragments of text that allow language models to predict what comes next. This approach has produced remarkable systems capable of writing, coding, translating, and reasoning. Yet despite their power, large language models still struggle with long-range coherence, multilingual consistency, deep reasoning, and the reliable representation of meaning.Large Concept Models explores a radically different path.Drawing from cutting-edge research and the groundbreaking Large Concept Model architecture introduced by Meta AI, this book examines how AI systems can move beyond token prediction and begin operating directly on concepts-the semantic units that carry meaning across languages, contexts, and modalities.Inside, you'll discover: - Why tokens are not the same as thoughts- The hidden limitations of next-token prediction- How modern language models actually represent knowledge- The rise of sentence embeddings and multilingual concept spaces- The SONAR architecture and concept-level reasoning- Diffusion models operating in semantic space- Hybrid LLM-LCM systems and future AI architectures- Implications for reasoning, memory, safety, and multimodal intelligence- The research frontier that may define the next generation of AIWritten for machine learning engineers, AI researchers, developers, technical leaders, and intellectually curious readers, this book combines rigorous technical analysis with accessible explanations to illuminate one of the most important architectural shifts in artificial intelligence.Whether Large Concept Models ultimately replace traditional language models or evolve alongside them, one question can no longer be ignored: Is the token really the right unit of thought This book provides the evidence, the architecture, and the argument.…

Condition: New. Print on Demand.