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News, analysis, and insights for IT leaders navigating the risks and rewards of AI.

AI in the Enterprise

December 12, 2023

5 easy ways to run an LLM locally

Deploying a large language model on your own system can be surprisingly simple—if you have the right tools. Here's how to use LLMs like Meta's new Code Llama on your desktop.

6 generative AI hazards IT leaders should avoid

The opportunities to use generative AI will greatly vary for each organization, but the ways it can go wrong are turning out to be fairly universal.

A year after ChatGPT’s debut, is GenAI a boon or the bane of the CISO’s existence?

You can try to keep the flood of generative AI at bay but embracing it with proper vigilance is likely the best hope to maintain control and prevent the scourge of it becoming shadow AI.

AMD launches Instinct AI accelerator to compete with Nvidia

AMD enters the AI acceleration game with broad industry support. First shipping product is the Dell PowerEdge XE9680 with AMD Instinct MI300X.

Image: Questions raised as Amazon Q reportedly starts to hallucinate and leak confidential data

Questions raised as Amazon Q reportedly starts to hallucinate and leak confidential data

As Amazon's next big bet in generative AI starts to hallucinate, experts question if the new generative AI assistant is ready for prime time.

Google launches Gemini, a genAI model for all devices

The new large language model will be available in three sizes for different purposes, including use in data centers and on mobile devices.

Microsoft Copilot AI to flex more muscle

Microsoft Copilot soon will be able to generate responses using the OpenAI GPT-4 Turbo model, which will enable users to tackle more complex and longer-running tasks.

The arrival of genAI could cover critical skills gaps, reshape IT job market

Facing a tech talent shortage, many corporate leaders see generative AI applications such as ChatGPT as one way to fill the gap by taking on tasks normally handled by workers.

Generative AI in enterprises: LLM orchestration holds the key to success

In the dynamic landscape of AI, LLMs represent a pivotal breakthrough. Unlike traditional AI, which demands frequent data updates, LLMs possess the ability to learn and adapt in real-time. This mirrors human learning and positions LLMs as essential for crafting more resilient and efficient AI systems.

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