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Articles by Tag: Large Language Models

Four Key Strategies to Mitigate AI Supply Chain Risks from Large Language Models
Strategy Brief

Four Key Strategies to Mitigate AI Supply Chain Risks from Large Language Models

The rapid integration of large language models (LLMs) into AI applications brings significant benefits but also introduces several supply chain risks. Developers and security experts using LLMs must understand AI supply chain risks and know how to mitigate them effectively.
Mitigating Bias and Fostering Inclusivity in Your LLM Solutions
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Mitigating Bias and Fostering Inclusivity in Your LLM Solutions

As Large Language Models (LLMs) become more integrated into business solutions, more instances of how they perpetuate social bias can be identified. Companies using LLMs must recognize that the model's output may reflect inherent biases, which can have adverse business implications. Developers and users of LLMs should implement bias mitigation strategies to ensure outputs align with organizational values.
Navigate Regulations with LLM-Assisted Compliance Strategies
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Navigate Regulations with LLM-Assisted Compliance Strategies

The increase in regulatory requirements, such as the European Union AI Act, the General Data Protection Regulation (GDPR) and others, heralds an era of increased complexity and scrutiny. This has seen SMEs face challenges in implementing robust compliance strategies to address the myriad of tech regulations and requirements. Large Language Models (LLMs) have been seen as a viable option to assist with the complex nature of these requirements. Tech leaders and compliance officers should understand how they can use this emerging technology to enhance their regulatory compliance.
Unlocking the Power of Extended Context in Large Language Models
Strategy Brief

Unlocking the Power of Extended Context in Large Language Models

The release of LLMs with extended context length marks a significant advancement, enabling more comprehensive applications for these models. Developers and software engineers need to grasp the concept of context length and its impact on design before incorporating or developing applications with enhanced context LLMs to utilize this capability fully.
Enhancing Software Quality Assurance with LLMs: The Influence of TestGen-LLM in Modern Testing Workflows
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Enhancing Software Quality Assurance with LLMs: The Influence of TestGen-LLM in Modern Testing Workflows

Testing code is crucial for software reliability, which can be ensured by meeting code coverage targets. Meta's TestGen-LLM, an advanced language model, improves test generation and coverage, enhancing software quality. Software Quality Assurance managers should add LLMs like TestGen-LLM to the QA process to boost test quality, efficiency, and software reliability.
Limitations Unveiled: Exploring the Restrictions of Large Language Models
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Limitations Unveiled: Exploring the Restrictions of Large Language Models

This article dives into the burdens and constraints of using LLMs for key operational and strategic tasks. It highlights key areas where LLMs can fall short and significantly impact business operations. Understand the limitations of LLM implementations so that you can make informed decisions and set realistic expectations of what is possible with these models.