- Home
- /
- The Ultimate LLM Library
Ultimate LLM Library
Explore the strengths and capabilities of both closed and open large language models (LLMs) through detailed insights derived from benchmarks and their technical papers. Understand how these models can be leveraged to transform your AI and R&D initiatives.
Gain insights from the world's best AI
We share key insights into the training, fine-tuning, and evaluation of the world's top large language models.
Llama 3.1 Guide: What to know about Meta's ne...
Discover insights from the training of Meta's Llama 3.1 family of models by reading more here.
Llama 3 Guide: Everything You Need to Know Ab...
Read about Meta's Llama 3 family of models and gain insights from its training here.
Insights into Data Quality and Evaluation in ...
Find out more about Gemma from Google and gain insights into their training.
What we can learn from DBRX Model Training, D...
Dive into the details of Databrick's model and understand their training insights here.
What can we learn from Microsoft Phi-3's trai...
Learn how Microsoft's Phi-3 models were trained for low-latency applications
Qwen 2: What can we learn about Alibaba's Mul...
In this article, we delve into the critical aspects of data quality and evaluation in Alibaba Cloud'...
Be a step ahead on AI advancements
Know and understand the latest developments in LLMs and GenAI, and apply them to your business cases.
Challenges and Solutions: Building Generative...
This article explores GenAI's impact and the crucial role of high-quality datasets in its success.
Research and methods on ensuring LLM Safety a...
This article explores the latest developments in AI safety.
A Guide to Using Small Language Models for Bu...
This guide focuses on understanding small language models, their advantages and practical use cases....
Go deeper with our events and webinars
We explore the latest advancements in large language models and show you how to leverage their capabilities for your projects.
Surpass frontier LLM performance on your task...
Learn new tools and techniques to applying RLHF for higher performing models.
Fine-Tuning LLMs Successfully: Using LLMs To ...
Part 2 of our series building conversation engines with LLMs is a deeper dive into fine-tuning LLMs....
Using LLMs To Build Custom Conversational Eng...
Using LLMs To Build Custom Conversational Engines: 3 Essential Steps to Success
“One of the fantastic aspects of this platform are the quality monitoring features, which make it easier to ensure that the labeled data is accurate and reliable.”
"Great companies like Kili Technology, [...] have already adopted this data-centric AI approach."
"Kili, the training data platform, is bringing added value in the management of our projects and this is quality."
"Kili enables us to improve our models’ performance and scale our AI projects as fast as our business needs."
"We are very satisfied with our collaboration with Kili. We saw a performance improvement of our model of 3.5%"
