How Microsoft’s next-gen BitNet architecture is turbocharging LLM efficiency
A smart combination of quantization and sparsity allows BitNet LLMs to become even faster and more compute/memory efficientRead More
Teen Behind Hundreds of Swatting Attacks Pleads Guilty to Federal Charges
Alan Filion, believed to have operated under the handle “Torswats,” admitted to making more than 375 fake threats against schools, places of worship, and government buildings around the United States.
Virtual Personas for Language Models via an Anthology of Backstories
We introduce Anthology, a method for conditioning LLMs to representative, consistent, and diverse virtual personas by generating and utilizing naturalistic backstories with rich details of individual values and experience. What does it mean for large language models (LLMs) to be trained on massive text corpora, collectively produced by millions and billions of distinctive human authors? …
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Scaling Smart: Accelerating Large Language Model Pre-training with Small Model Initialization
This paper was accepted at the Efficient Natural Language and Speech Processing (ENLSP) Workshop at NeurIPS 2024. The pre-training phase of language models often begins with randomly initialized parameters. With the current trends in scaling models, training their large number of parameters can be extremely slow and costly. In contrast, small language models are less …
How Palantir Enables a Secure, Rapid Software Development Environment
How Palantir Enables a Secure, Rapid Software Development Environment (Software Supply Chain Security, #1) Editor’s Note: This is the first post in a series that shares insights from our journey to enhance our software supply chain security story at Palantir. This post provides background on why and how we initiated our Software Supply Chain Security …
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Netflix’s Distributed Counter Abstraction
By: Rajiv Shringi, Oleksii Tkachuk, Kartik Sathyanarayanan Introduction In our previous blog post, we introduced Netflix’s TimeSeries Abstraction, a distributed service designed to store and query large volumes of temporal event data with low millisecond latencies. Today, we’re excited to present the Distributed Counter Abstraction. This counting service, built on top of the TimeSeries Abstraction, …
Generative AI for agriculture: How Agmatix is improving agriculture with Amazon Bedrock
This post is co-written with Etzik Bega from Agmatix. Agmatix is an Agtech company pioneering data-driven solutions for the agriculture industry that harnesses advanced AI technologies, including generative AI, to expedite R&D processes, enhance crop yields, and advance sustainable agriculture. Focused on addressing the challenge of agricultural data standardization, Agmatix has developed proprietary patented technology …
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Efficiency engine: How three startups deliver results faster with Vertex AI
Have you heard of the monkey and the pedestal? Astro Teller, the head of Google’s X “moonshot factory,” likes to use this metaphor to describe tackling the biggest challenge first, despite being tempted by the endorphin boost of completing more familiar tasks. It’s a challenge startups know well. When you’re re-inventing the industry standard, it’s …
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How Writer has built an enterprise platform Blueprint that does the AI for you
Writer CEO May Habib explains the four things companies need to know before setting off on their agentic AI journey.Read More
Donald Trump Taps Elon Musk, Vivek Ramaswamy to Lead Nonexistent Department of Government Efficiency
“These two wonderful Americans will pave the way for my Administration to dismantle Government Bureaucracy, slash excess regulations, cut wasteful expenditures, and restructure Federal Agencies,” said Donald Trump in a statement.