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What we know about Amazon's Alexa LLM
Amazon has officially joined the commercial language model race with the announcement of the Alexa LLM. There is no detail on the model architecture or…
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Ben Dickson
Everything to know about LLM compression
Large language models (LLM) such as LLaMA 2 and Falcon can require dozens, if not hundreds, of gigabytes of GPU memory. They are expensive to run and…
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Ben Dickson
Using LLMs to simulate mass user behavior
One of the great problems of mass-user products is predicting emerging behaviors—both good and bad. A recent study by researchers at Stanford University…
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Ben Dickson
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Why you should pause before adopting a vector database
As the popularity of large language models continues to surge, there is also a growing interest in vector databases. Many tutorials show how vector…
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Ben Dickson
What to know about the limits of RLHF
There is a lot of excitement about the benefits of reinforcement learning from human feedback (RLHF). But the limitations of RLHF are much less…
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Ben Dickson
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What GPT-3.5 Turbo's fine-tuning feature means for the LLM market
This week, OpenAI announced the release of fine-tuning for GPT-3.5 Turbo, the model behind the free version of ChatGPT. The new feature will have…
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Ben Dickson
Why you should be worried about a universal LLM jailbreak
A recent paper by researchers from different institutions reveals a universal adversarial attack against large language models (LLM) that is…
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Ben Dickson
Launch your own LLM API endpoint with (almost) no coding
Background image: 123RF Foreground image generated with Forefront.AI While there is a lot of excitement around open-source LLMs, integrating them into…
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Ben Dickson
New RL technique learns world models through language
A new research paper from scientists at UC Berkeley proposes an innovative approach dubbed Dynalang, which aims to design reinforcement learning agents…
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Ben Dickson
Liquid neural networks can be a big deal for the future of AI
(Image credit: 123RF) Amid the craze surrounding large language models (LLM) and the drive to create bigger and bigger neural networks, the field of…
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Ben Dickson
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Your simple guide to gradient descent
Deep learning models, such as convolutional neural networks (CNNs), recurrent neural networks (RNNs), and transformers, are diverse, each designed for…
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Ben Dickson
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Did ChatGPT's capabilities degrade?
In recent weeks, there have been numerous reports and discussions about the capabilities of ChatGPT degrading over time. Some experts have speculated…
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Ben Dickson
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TechTalks
TechTalks
In-depth discussions about machine learning, deep learning, reinforcement learning, neural networks, artificial general intelligence, AI business, and other technology trends.
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