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By: David Metcalf (Author) , Max Hooper (Author) , Vikram Dhillon (Author)
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The time to integrate next generation artificial intelligence (AI) and blockchain into enterprise applications is upon us. The key to this is leveraging recent advances in AI to make our applications better, faster and cheaper and use blockchain to enable truth, trust, privacy, verification and immutability? This book will focus on how blockchains can enable AI applications to scale in a responsible fashion.
Youll see that in the next wave of AI products, blockchain can provide a Trust Layer, a fundamental feature previously only implemented for parties within a blockchain network. The provable consensus algorithms and oracles previously implemented in blockchains can be extended to autonomous agents that are integrated with large language models (LLM)s and future applications.
Finally, youll learn that safety is a major concern for practical applications of AI and blockchain can help mitigate threats due to the decentralized nature. As such, there will be significant discourse on how blockchain can provide enhanced security against prompt injections, LLM-hijacking for dangerous information and privacy. These ideas were studied rigorously when large financial institutions were releasing their own blockchains and distributed ledger protocols with a heavy focus privacy.
AI is undergoing a Cambrian explosion this year with foundational models emerging for all major domains of study, however, most such models lack the capacity to externally validate for the correctness of a fact, or reply made by the LLM. Similarly, there are no concrete ways to check if the response is substantiative or a mere hallucination. AI Applications Enabled by Blockchain strives to translate technical literature from a previous era into the future of AI domain.
What You Will Learn
· Bring a layer of accuracy to generative AI where a non-generative component behaves as guardrails
· Protect users from harmful biases as well as hallucinations.
· See how blockchain plays a role in aligning AI with human interests.
· Review use-cases and real-world applications from parties that have invested a significant amount in building technology stacks utilizing both.
Who This Book Is For
Enterprise users and policy makers in the field of Professional and Applied Computing
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