LLM

Squeeze Beats launches LLM serving optimization solution ‘Matches on Chips’

Squeeze Beats (CEO Kim Hyeong-jun), a specialist in artificial intelligence (AI) lightweighting and optimization, announced on the third that it has launched 'Matches on Chips', a customized solution for serving large language models (LLM). Matches...

The day after tomorrow, the 102B open source model with ‘strongest Korean performance’ revealed… “Outperforms each GPT-4o and Q12”

MOREH (CEO Jo Kang-won), a specialist in artificial intelligence (AI) infrastructure solutions, has opened its self-developed Korean foundation large language model (LLM) 'Llama-3-Motif-102B' to Hugging Face. It was announced on the third that it...

Design Patterns in Python for AI and LLM Engineers: A Practical Guide

As AI engineers, crafting clean, efficient, and maintainable code is critical, especially when constructing complex systems.Design patterns are reusable solutions to common problems in software design. For AI and enormous language model (LLM) engineers,...

Easy methods to Connect LlamaIndex with Private LLM API Deployments

When your enterprise doesn’t use public models like OpenAIStarting with LlamaIndex is a fantastic alternative when constructing an RAG pipeline. Normally, you wish an OpenAI API key to follow the numerous tutorials available.Nevertheless, you...

“The ‘RAG Agent’ that finds various knowledge sources might be a game changer.”

Going beyond the present Search Augmented Generation (RAG), which conducts searches based on a single knowledge source, predictions have emerged that so-called 'RAG agents', which extract information from multiple knowledge sources using various tools,...

Rethinking Scaling Laws in AI Development

As developers and researchers push the boundaries of LLM performance, questions on efficiency loom large. Until recently, the main focus has been on increasing the dimensions of models and the amount of coaching data,...

Google also focuses on post-training as a result of slowing LLM performance…attempts to regulate ‘hyperparameters’

Following Open AI, news emerged that Google can also be unable to enhance the performance of its 'Geminii' model at the identical rate as before and is searching for other ways to enhance it....

What Did I Learn from Constructing LLM Applications in 2024? — Part 1

Research and experiments are at the guts of any exercise that involves AI. Constructing LLM applications is not any different. Unlike traditional web apps that follow a pre-decided design that has little to no...

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