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Executives working in the gaming industry weighed in on potential Web3 gaming trends in 2024.
In this week’s newsletter, read about how Michael Jackson’s first recording is coming to the blockchain and why the nonfungible token (NFT) lending protocol ParaSpace was rebranded to Parallel Financ…
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These models rely on parametric knowledge to answer questions… The model learns this knowledge during training and encodes it into the model parameters…
Retrieval Augmented Generation (RAG) in Amazon SageMaker
Pinecone will handle the retrieval component of RAG, but you need two more critical components: somewhere to run the LLM inference and somewhere to run the embedding model… It provi…
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We’re pleased by this placement in the Gartner report as we continue to prioritize investments to make Azure the global cloud computing platform powering transformation and growth—enabling new possibilities for organizations to embrace the latest technologies and to advance at a rapid pace… With highly secure, state-of-the-art Azure datacenters designed with data residency in mind, Azure ho…
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The platform allows clients to compare and benchmark quantum and classical algorithms for a given task.
According to the Moody’s Analytics website, QFStudio is a software-as-a-service (SaaS) offering that will serve as “a continuous integration, benchmark, and delivery platform” for quantum…
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Bitcoin is witnessing profit-booking by short-term holders, but institutional investors continue to put money into BTC investment products…
Bitcoin (BTC) has been on a tear, rising more than 10% this week… This shows that traders are urgently scrambling to buy Bitcoin as they anticipate the p…
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Summarization methods have a broad range of applications serving various purposes, such as:
News aggregation – News aggregation involves summarizing news articles into a newsletter for the media industry
Legal document summarization – Legal document summarization helps legal professionals extract key legal information from lengthy documents like terms, conditions, and contracts
Acade…
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However, they can’t generalize well to enterprise-specific questions because, to generate an answer, they rely on the public data they were exposed to during pre-training…
However, the popular RAG design pattern with semantic search can’t answer all types of questions that are possible on documents… This is especially true for questions that require analytical reasoning across multiple d…