How deeply does Software Testing with Generative AI cover Llama?

Defines its openness, sizes, and access trade-offs but does not detail model architecture, training procedures, or evaluation.

Llama

As explained in Software Testing with Generative AI

Llama-2 is an open-source family of large language models released by Meta that can be downloaded and further trained.

Llama is Meta’s open-source family of large language models. Its range of model sizes and accessible licensing has made it a popular foundational model for AI development. section 2.5.2

Key characteristics include:

Models are available in 8-billion- and 70-billion-parameter sizes. section 2.5.2
Users must source their own datasets and infrastructure because Meta does not provide a public platform for training and running Llama variants. section 2.5.2

Access trade-off

Llama offers more direct access than proprietary model families, supporting experimentation and further training while shifting dataset and infrastructure responsibilities to the user. section 2.5.2

How Software Testing with Generative AI covers it

Cover of Software Testing with Generative AI

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Also explained in

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LLMs in ProductionLLaMA is a family of autoregressive large language models released by Meta for research and development.
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Natural Language Processing in Action, Second EditionLlama 2 is a family of autoregressive large language models released by Meta for text generation and understanding.
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Starting Data Analytics with Generative AI and PythonA family of large language models developed by Meta for generative-AI applications.
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Build Applications with Local AI Models on a MacA family of large language models developed by Meta.

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Related concepts

open-weight modelkind of · An open-weight model is a machine-learning model whose trained parameter values are made available for others to download, run, or modify, subject to applicable terms.
language modelkind of · A language model is a computational model that represents patterns in linguistic tokens to estimate sequence probabilities and predict or generate language from context.
open-source modelkind of · An open-source model is a machine-learning model whose relevant artifacts, such as code or weights, are made available under terms permitting public access and specified forms of use or modification.
Ollamaused by · Ollama is software for downloading, running, and serving language models locally.
weighthas part · A weight is a numerical quantity assigned to an element to represent its contribution, influence, importance, strength, or resource amount in a calculation or system.
api calluses · An API call is a programmatic request or invocation through an application programming interface to access data or invoke an operation.

This explainer was generated by Manning's knowledge graph from the text of Software Testing with Generative AI. The section links point to the parts of the book it draws on.