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A Framework for Building Semantic Search Applications With Generative AI Jun 18th 2024, 14:00, by Lakshmanan Sethu Sankaranarayanan Search applications play a critical role in this digital era. It enables enterprises to find the right and valuable information at the right time to make informed decisions. The efficient search application proves to improve productivity and efficiency for organizations to thrive. The traditional keyword search applications fail to understand the meaning, intent, and context of users or customers, They don't have the power to understand the nuances of human language. They are heavily built on keyword matching, which may lead to inaccurate results in understanding the intent behind the search. The developers and architects are facing challenges in building search applications that go beyond mere keyword matching.  Now it has been made it easier and more powerful to reimagine searches by leveraging cutting-edge technologies like natural language processing (NLP), machine learning (ML), and models. These advanced techniques can unlock the ability to truly understand the meaning and context of user queries which leads to more accurate and personalized results. Unmasking the Danger: 10 Ways AI Can Go Rogue (And How to Spot Them) Jun 18th 2024, 13:00, by Indrajit Bhattacharya, Obaid Sarvana The rapid advancement of large language models (LLMs) has ignited both excitement and apprehension. While their potential for good is immense, so too is the possibility of misuse and unintended consequences. Understanding the specific dangers these powerful AI systems pose is crucial for developing effective safeguards. Here's a breakdown of 10 ways LLMs could go rogue, highlighting the risks, likelihood, detection methods, and potential protection strategies: Harnessing Kafka Streams for Seamless Data Tasks Jun 18th 2024, 12:00, by Ilia Ivankin Reason In modern distributed systems, efficient real-time data discovery and integration are common tasks. We often encounter approaches involving multiple queues or services that collect data into a database, followed by various search queries. But what if I told you that storing data in a database is unnecessary when you can read data directly from Kafka, like a table? Apache Kafka is a powerful event streaming platform offering robust data discovery and real-time data integration capabilities. This makes it a versatile solution for building scalable event-driven architectures. Random and Fixed Routes With Apache APISIX Jun 18th 2024, 11:00, by Nicolas Fränkel My ideas for blog posts inevitably start to dry up after over two years at Apache APISIX. Hence, I did some triage on the APISIX repo. I stumbled upon this one question: We have a requirement to use a plugin, where we need to route the traffic on percentage basis. I'll give an example for better understanding.

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