Remove Artificial Intelligence Remove Inference Engine Remove Large Language Models
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The Best Inference APIs for Open LLMs to Enhance Your AI App

Unite.AI

Imagine this: you have built an AI app with an incredible idea, but it struggles to deliver because running large language models (LLMs) feels like trying to host a concert with a cassette player. This is where inference APIs for open LLMs come in. The potential is there, but the performance?

LLM 276
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NVIDIA Dynamo: Scaling AI inference with open-source efficiency

AI News

Dynamo orchestrates and accelerates inference communication across potentially thousands of GPUs. It employs disaggregated serving, a technique that separates the processing and generation phases of large language models (LLMs) onto distinct GPUs.

Big Data 262
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PowerInfer: Fast Large Language Model Serving with a Consumer-grade GPU

Unite.AI

Due to their exceptional content creation capabilities, Generative Large Language Models are now at the forefront of the AI revolution, with ongoing efforts to enhance their generative abilities. However, despite rapid advancements, these models require substantial computational power and resources. Let's begin.

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Red Hat on open, small language models for responsible, practical AI

AI News

There are smaller cloud providers that can be utilised to offload some compute, but the key is having the flexibility and freedom to choose to keep business-critical information in-house, close to the model, if desired. If we want to make AI ubiquitous, it has to be through smaller language models.

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Layer-of-Thoughts Prompting (LoT): A Unique Approach that Uses Large Language Model (LLM) based Retrieval with Constraint Hierarchies

Marktechpost

Utilizing Large Language Models (LLMs) through different prompting strategies has become popular in recent years. Differentiating prompts in multi-turn interactions, which involve several exchanges between the user and model, is a crucial problem that remains mostly unresolved. Don’t Forget to join our 55k+ ML SubReddit.

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Zhipu AI Releases GLM-4-Voice: A New Open-Source End-to-End Speech Large Language Model

Marktechpost

In the evolving landscape of artificial intelligence, one of the most persistent challenges has been bridging the gap between machines and human-like interaction. Zhipu AI recently released GLM-4-Voice, an open-source end-to-end speech large language model designed to address these limitations.

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AFlow: A Novel Artificial Intelligence Framework for Automated Workflow Optimization

Marktechpost

The challenge lies in generating effective agentic workflows for Large Language Models (LLMs). Despite their remarkable capabilities across diverse tasks, creating workflows that combine multiple LLMs into coherent sequences is labor-intensive, which limits scalability and adaptability to new tasks.