Blog
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Mistral 7B vs LLaMa
The Mistral AI team has unveiled the Mistral 7B, touted as the most potent language model of its size currently available. Mistral 7B is a model with 7.3B parameters. Let’s compare it with LLama LLM. Its capabilities include: Users can: Fine-tuning Mistral 7B is straightforward for any task. As evidence, the Mistral AI team offers…
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Extracting Data from PDF using LLama 2
In today’s digital age, extracting data from documents is a common necessity for many businesses. This article delves into a method to efficiently pull information from text-based PDFs using the LLama 2 Large Language Model (LLM). By the end of this guide, you’ll have a clear understanding of how to harness the power of LLama…
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Trustbit’s score for LLama 2
The Trustbit benchmarks assess models for their fit in digital product development. A higher score indicates better performance. The benchmarks differentiate between proprietary cloud models and open source models with lenient licenses: At a strategic perspective, advancements in the GPT/LLM arena are seen consistently. It is anticipated that some projects will transition from cloud-based solutions…
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Llama 2 now available in Web LLM
The Web LLM team observed significant advancements in generative AI and LLM. Due to open-source initiatives such as LLaMA, Alpaca, Vicuna, and Dolly, there’s a budding prospect of constructing open-source language models and individual AI assistants. Usually, these models demand considerable computational power. For establishing a chat feature, a substantial cluster would be mandatory to…
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What is Llama 2?
Meta’s Llama 2 stands as an open-source Large Language Model (LLM), positioning itself as an alternative to OpenAI’s GPT series and Google’s AI models, such as PaLM 2. However, it sets itself apart by being accessible to almost everyone, both for research and commercial applications. What Makes Llama 2 Unique? While there are other LLMs,…
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LLaMa 2 Insights
Meta, in partnership with Microsoft, is releasing the open source code for LLaMA 2 – its large language model, trained with 40% more data than the previous version. The announcement was made during the Microsoft Inspire event, where both companies spoke of a “growing” partnership. The open-sourced LLaMa 2 is already available via the Azure…
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GPT 3.5 vs Llama 2
Sam L’Huillier conducted a study on the benchmarking of GPT 3.5 against Llama 2, focusing on an SQL task and a functional representation task. His findings include: The motivation behind the research was to determine if manually fine-tuning models could come close to matching the performance of GPT 3.5, but at a much lower cost.…
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Connecting LLMs with Evolutionary Algorithms
In their paper “Connecting Large Language Models with Evolutionary Algorithms Yields Powerful Prompt Optimizers“, the authors highlight that while Large Language Models (LLMs) are adept at various tasks, they largely depend on meticulously designed prompts necessitating significant human input. Seeking to automate this task, the researchers introduce a fresh framework for discrete prompt optimization named…
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DeciLM vs Llama-2
DeciLM is an efficient, blazing-fast text generation language model. DeciLM-6B is 15x faster than Llama 2! Here’s what sets it apart. What is DeciLM? DeciLM 6B is a 5.7 billion parameter decoder-only text generation model. With a context window of 4096 tokens, the highly efficient model uses variable Grouped-Query Attention (GQA) to achieve an optimal…