Currently best small LLM model with very large context window?

The Competitive Advantage of 100K Context Window in LLMs

Open Source LLMs with Large Context Windows ... MPT-7B models are a series of open source LLMs with a notable speciality: its 65K context length!

Will large context windows kill RAG pipelines? - Fabrity

Large context window vs. RAG: comparison ... To sum up, a larger context window in a large language model (LLM) can serve as an alternative to ...

Current Large Language Models and How They Compare - Quiq

This is one thing you might want to consider as you carry out your LLM comparisons. Some of the very best models, like ChatGPT, are closed- ...

With Context Windows Expanding So Rapidly, Is RAG Obsolete?

Explore the comparison between long-context models and RAG as LLM context windows expand. Learn which approach best fits your enterprise AI ...

How to truncate context for LLMs with small context windows - Telnyx

Some of the most powerful models, like the GPT-4-turbo model, offer staggering context windows of up to 128K tokens. But most of the state-of- ...

NLP • LLM Context Length Extension - aman.ai

An LLM with an expanded context length can offer more tailored and efficient interactions by processing user-specific data without the need for model ...

What is a context window—and why does it matter? - Zapier

A large context window solves some data retrieval and accuracy issues with LLMs, but not all of them. If you provide an LLM with lots of low ...

LLMs With Large Context Windows - Revelry Labs

This post is the first in a series in which we will explore the limits of large language models (LLMs) with respect to memory overhead and context windows.

LLMs vs. SLMs: Understanding Language Models (2024) - instinctools

Output quality, Lower due to a smaller context window, High ; Security, Might present certain risks (API violation, prompt injection, training ...

Fine-tuning large language models (LLMs) in 2024 - SuperAnnotate

This is where PEFT is crucial. While full LLM fine-tuning updates every model's weight during the supervised learning process, PEFT methods only ...

All the Hard Stuff Nobody Talks About when Building Products with ...

There are promising advancements in models with very large context windows. However, in our experiments with Claude 100k, it's several times ...

Long context | Generative AI on Vertex AI - Google Cloud

Historically, large language models (LLMs) were significantly limited by the amount of text (or tokens) that could be passed to the model at one time. The ...

MemGPT - Unlimited Context (Memory) for LLMs - MLExpert

I like the productivity gains that LLMs can provide. Which Open Source LLM is the best? Venelin seems to prefer open source language models. He appreciates ...

Navigating the World of Open-Source Large Language Models

The answer lies not just in the specifications sheets or benchmark scores but in a holistic understanding of what each model brings to the table ...

Which AI should I use? Superpowers and the State of Play

For over a year, GPT-4 was the dominant AI model, clearly much smarter than any of the other LLM systems available.

LLM Leaderboard - Compare GPT-4o, Llama 3, Mistral, Gemini ...

Comparison and ranking the performance of over 30 AI models (LLMs) across key metrics including quality, price, performance and speed (output speed - tokens ...

Understanding Context in Large Language Models - Spheron's Blog

Limited "Memory": LLMs are stateless, so their context window acts as their memory. A shorter window means the model can only recall a limited ...

Evaluating long context large language models - Art Fish Intelligence

Larger context windows aren't just a way for companies building LLMs to compete with each other. The implications and real-world scenarios of ...

Retrieval meets Long Context Large Language Models - OpenReview

Perhaps surprisingly, we find that LLM with 4K context window using simple retrieval-augmentation at generation can achieve comparable ...

LLM Context Window Paradox: 5 Ways to Solve the Problem

Thus, large context windows offer advantages but with some limitations. The best approach is to find the right balance between context size, ...