
Avitan Gefen
Articles
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Aug 21, 2024 |
thenewstack.io | Mary Branscombe |Anais Dotis Georgiou |Loraine Lawson |Avitan Gefen
It’s been nearly a decade since JavaScript started getting new updates to the language specification — a process that had stalled for many years, leading to a plethora of frameworks and libraries and some very useful experimentation, but also frustration about the future direction of the language.
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Aug 20, 2024 |
thenewstack.io | Anais Dotis Georgiou |Anais Dotis-Georgiou |Loraine Lawson |Avitan Gefen
It’s no secret that the rise of large language models (LLMs) like ChatGPT and Bard has dramatically changed how many work, communicate, and learn. But LLMs have applications other than replacing search engines. Most recently, data scientists have repurposed LLMs for time series forecasting. Time series data is ubiquitous across domains, from financial markets to climate science.
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Aug 20, 2024 |
thenewstack.io | Loraine Lawson |Anais Dotis Georgiou |Avitan Gefen |Jeff James
Developers who tried Angular years ago should revisit the framework because it’s simpler, more performant and more developer-friendly now, an Angular representative told audiences at a Saturday teleconference. Mark Thompson, a senior developer relations engineer at Google, spoke as part of Medium Day, a conference hosted by the online content platform. Angular maintains a blog on Medium. He shared how Angular has improved and discussed plans for its future, which includes partial hydration.
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Aug 20, 2024 |
thenewstack.io | Avitan Gefen |Anais Dotis Georgiou |Loraine Lawson |Jeff James
In his 1950 paper “Computing Machinery and Intelligence,” Alan Turing famously said, “We can only see a short distance ahead, but we can see plenty there that needs to be done.” He referred to the challenge of developing “machines that can think.”Decades later, we’ve made significant progress in the “plenty” that needs to be done, and we can see a short distance further.
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Aug 2, 2024 |
thenewstack.io | Avitan Gefen |Siddarth Jain |Patrick McFadin |Alex Williams
Senser has been an AI company from day one. We operate within the AIOps category, using machine learning to graph production Cloud and IT environments and provide our customers with deep insights into the root cause and change impact. While the buzz around implementing generative AI capabilities in the observability market is recent and loud, we’ve been quietly evaluating the specific roles LLMs can play in bolstering our offering over the past year.
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