LLMs

Recommender Systems Using LLMs and Vector Databases

Recommender systems are in every single place — whether you’re on Instagram, Netflix, or Amazon Prime. One common element among the many platforms is that all of them use recommender systems to tailor content...

Learn how to Get JSON Output from LLMs: A Practical Guide

Tutorial on enforcing JSON output with Llama.cpp or the Gemini’s APILarge Language Models (LLMs) are great at generating text, but getting structured output like JSON normally requires clever prompting and hoping the LLM understands....

LLMs develop their very own understanding of reality as their language abilities improve

Ask a big language model (LLM) like GPT-4 to smell a rain-soaked...

Apple Releases Benchmark Tool to Determine LLM’s Real Capabilities… “Open Source, Closed, and Far Insufficient”

Apple has released a brand new benchmark tool that measures the actual capabilities of artificial intelligence (AI) in large language models (LLMs). The outcomes of testing major models showed that open source models are...

Beyond Positive-Tuning: Merging Specialized LLMs Without the Data Burden

In-Depth Exploration of Integrating Foundational Models similar to LLMs and VLMs into RL Training LoopAuthors: Elahe Aghapour, Salar RahiliThe sphere of computer vision and natural language processing is evolving rapidly, resulting in a growing...

What to Study when you Need to Master LLMs

What foundational concepts do you have to study if you would like to understand Large Language Models?A lot of the code we use to interact with LLMs (Large Language Models) is hidden behind several...

How Multi-Agent LLMs Can Enable AI Models to More Effectively Solve Complex Tasks

Most organizations today wish to utilize large language models (LLMs) and implement proof of concepts and artificial intelligence (AI) agents to optimize costs inside their business processes and deliver latest and inventive user experiences....

Predicting metadata for humanitarian datasets with LLMs part 2 — An alternative choice to fine-tuning

The generate-test-train-data.ipynb notebook provides all of the steps taken to create test and training datasets, but listed below are some key points to notice:1. Removal of automatic pipeline repeat HXL dataOn this study, I...

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