Selecting the Right Battery for IoT Applications
Illustration: © IoT For All Selecting the right battery for IoT devices is paramount to ensuring optimal performance and longevity.
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Tag: applications
Second round of seed grants awarded to MIT scholars studying the impact and applications of generative AI | MIT News
Last summer, MIT President Sally Kornbluth and Provost Cynthia Barnhart issued a call for papers to “articulate effective roadmaps, policy
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Best practices for building secure applications with Amazon Transcribe
Amazon Transcribe is an AWS service that allows customers to convert speech to text in either batch or streaming mode.
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Best practices to build generative AI applications on AWS
Generative AI applications driven by foundational models (FMs) are enabling organizations with significant business value in customer experience, productivity, process
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Wireless and Antenna Selection Priorities in IoT Applications
Illustration: © IoT For All The Internet of Things (IoT) has influenced almost everyone’s life and work in recent times.
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Towards increased truthfulness in LLM applications | by Marlon Hamm | Mar, 2024
Application-oriented methods from current research This article explores methods to enhance the truthfulness of Retrieval Augmented Generation (RAG) application outputs,
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DataStax and LlamaIndex Partner to Make Building RAG Applications Easier than Ever for GenAI Developers
New Integration Lets Developers Use DataStax RAGStack with LlamaIndex to Build GenAI Applications with Preview of LlamaParse DataStax, the Gen
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AI Companies and Applications have a lot to Prove in 2024
For many companies, 2023 was a year of discovery for generative AI – after the breakout success of ChatGPT and
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Some Thoughts on Operationalizing LLM Applications | by Matthew Harris | Jan, 2024
A few personal lessons learned from developing LLM applications Source DALL·E 3 prompted with “Operationalizing LLMs, watercolor” It’s been fun
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Architect defense-in-depth security for generative AI applications using the OWASP Top 10 for LLMs
Generative artificial intelligence (AI) applications built around large language models (LLMs) have demonstrated the potential to create and accelerate economic
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