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FastGen: Cutting GPU Memory Costs Without Compromising on LLM Quality

Marktechpost

However, these models are only applied to non-autoregressive models and require an extra re-training phrase, making them less suitable for auto-regressive LLMs like ChatGPT and Llama. It is important to consider pruning tokens’ potential within the KV cache of auto-regressive LLMs to fill this gap.

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Beyond ChatGPT; AI Agent: A New World of Workers

Unite.AI

Current Landscape of AI Agents AI agents, including Auto-GPT, AgentGPT, and BabyAGI, are heralding a new era in the expansive AI universe. AI Agents vs. ChatGPT Many advanced AI agents, such as Auto-GPT and BabyAGI, utilize the GPT architecture. Their primary focus is to minimize the need for human intervention in AI task completion.

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8 Ways Automatic Speech Recognition Can Increase Efficiency For Your Business

AssemblyAI

Using Automatic Speech Recognition (also known as speech to text AI , speech AI, or ASR), companies can efficiently transcribe speech to text at scale, completing what used to be a laborious process in a fraction of the time. It would take weeks to filter and categorize all of the information to identify common issues or patterns.

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7 best transcript summarizers powered by AI

AssemblyAI

  AssemblyAI also offers LeMUR , which lets users leverage advanced LLM capabilities to extract insights automatically from audio and video files. Users can toggle on/off AssemblyAI’s various AI models, including Summarization, Auto Chapters (time-stamped summaries), and LeMUR to tailor the summary format and output as desired. 

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AutoGen: Powering Next Generation Large Language Model Applications

Unite.AI

Developing such a model is an exhaustive task, and constructing an application that harnesses the capabilities of an LLM is equally challenging. Given the extensive time and resources required to establish workflows for applications that utilize the power of LLMs, automating these processes holds immense value.

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Stability AI Releases Stable Code 3B: A 3 Billion Parameter Large Language Model (LLM) that Allows Accurate and Responsive Code Completion

Marktechpost

Stable AI has recently released a new state-of-the-art model, Stable-Code-3B , designed for code completion in various programming languages with multiple additional capabilities. Stable-Code-3B is an auto-regressive language model based on the transformer decoder architecture. The model is a follow-up on the Stable Code Alpha 3B.

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TensorRT-LLM: A Comprehensive Guide to Optimizing Large Language Model Inference for Maximum Performance

Unite.AI

As the demand for large language models (LLMs) continues to rise, ensuring fast, efficient, and scalable inference has become more crucial than ever. NVIDIA's TensorRT-LLM steps in to address this challenge by providing a set of powerful tools and optimizations specifically designed for LLM inference.