Expert Advice: Page
Practical guidance from industry experts on AI
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Brand Experience Team/TechTarget
Compare generative AI vs. LLMs: Differences and use cases
While large language models like ChatGPT grab headlines, the generative AI landscape is far more diverse, spanning models that are changing how we create images, audio and video.
Lev Craig and Olivia Wisbey • Feb. 13, 2025 -
Brand Experience Team/TechTarget
GPT-3.5 vs. GPT-4: Biggest differences to consider
GPT-3.5 or GPT-4? With multiple OpenAI language models to choose from, picking the right option for your organization's needs comes down to the details.
Leah Zitter, Ph.D. • Feb. 12, 2025 -
Brand Experience Team/TechTarget
The advantages and disadvantages of AI in cybersecurity
To meet growing cybersecurity needs, many organizations are turning to AI. However, without the right strategies in place, AI can introduce risks alongside its benefits.
Nihad Hassan • Feb. 7, 2025 -
Brand Experience Team/TechTarget
8 generative AI challenges that businesses should consider
IT managers planning to adopt GenAI can expect to encounter some hurdles, including cost optimization, workforce effects, cybersecurity concerns and energy use.
John Moore • Feb. 3, 2025 -
Brand Experience Team/TechTarget
Mixed-precision training in AI: Everything you need to know
Training AI models can be expensive and time-consuming. Mixed-precision training uses both FP16 and FP32 to lower memory use and reduce costs without sacrificing model accuracy.
Stephen Bigelow • Feb. 3, 2025 -
Brand Experience Team/TechTarget
10 top generative AI benefits for business
The advantages of using generative AI cover plenty of ground, with improving customer experience, reducing costs and automating code creation among the key drivers.
John Moore • Jan. 30, 2025 -
Brand Experience Team/TechTarget
GAN vs. transformer models: Comparing architectures and uses
Discover the differences between generative adversarial networks and transformers, plus how the two techniques might combine in the future to provide users with better results.
George Lawton • Jan. 28, 2025 -
Brand Experience Team/TechTarget
The growing role of FPGAs for accelerating AI workloads
FPGAs offer flexibility and energy efficiency, but their complexity and limitations make GPUs a better choice for some AI workloads. Learn how to know when FPGAs are the right fit.
Chris Tozzi • Jan. 9, 2025 -
Brand Experience Team/TechTarget
Generative AI vs. machine learning: Key differences and use cases
Generative AI differs from simpler forms of machine learning in several ways, but both can enhance efficiency, personalize customer experiences and drive revenue growth.
Stephen Bigelow • Dec. 30, 2024 -
Brand Experience Team/TechTarget
The different types of AI explained
Despite the rapid evolution and mind-boggling capabilities of AI tools, AI does not yet possess the general intelligence of humans, let alone ASI. Learn about four levels of AI.
Alexander Gillis, David Petersson • Dec. 23, 2024 -
Brand Experience Team/TechTarget
How bad is generative AI data leakage and how can you stop it?
Mismanaged training data, weak models, prompt injection attacks can all lead to data leakage in GenAI, with serious costs for companies. The good news? Risks can be mitigated.
Chris Tozzi • Dec. 19, 2024 -
Brand Experience Team/TechTarget
Compare PyTorch vs. TensorFlow for AI and machine learning
PyTorch and TensorFlow are both dependable open source frameworks for AI and machine learning. Deciding which to use for your project comes down to your use case and priorities.
Chris Tozzi • Dec. 11, 2024 -
Brand Experience Team/TechTarget
Compare 7 of the best AI coding tools for 2025
Generative AI tools like ChatGPT and GitHub Copilot are rapidly changing how developers write code. Compare leading options' features and pricing to choose the right tool.
Will Kelly, Lev Craig • Nov. 27, 2024 -
Brand Experience Team/TechTarget
Embedding models for semantic search: A guide
Embedding models in semantic search are changing how we interact with information by going beyond keyword matching to capture meaning and relationships in text and other data.
George Lawton • Nov. 22, 2024 -
Brand Experience Team/TechTarget
Generative AI vs. predictive AI: Understanding the differences
Generative AI and predictive AI vary in how they handle use cases and unstructured and structured data, respectively. Explore the benefits and limitations of each.
George Lawton • Nov. 20, 2024 -
Brand Experience Team/TechTarget
AI inference vs. training: Key differences and tradeoffs
AI inference and training are both critical phases of model development. Learn how to balance their demands to optimize performance, manage costs and scale models effectively.
Donald Farmer • Nov. 13, 2024 -
Brand Experience Team/TechTarget
How to run LLMs locally: Hardware, tools and best practices
Local deployments of large language models offer advantages, including privacy, speed and customization -- but organizations need the right tools and infrastructure to succeed.
Marius Sandbu • Nov. 5, 2024 -
Brand Experience Team/TechTarget
Reduce project expenses with AI cost optimization strategies
AI projects don't have to break the bank. From open source tools to clever cloud strategies, learn how to keep your AI initiatives efficient and cost-effective.
Chris Tozzi • Oct. 28, 2024 -
Brand Experience Team/TechTarget
Is getting an AI certification worth it? Factors to consider
Some say AI certification is essential, while others worry it's a waste of time. Learn the benefits and downsides of AI certifications and how to find the right one for your needs.
Stephen Bigelow • Oct. 21, 2024 -
Brand Experience Team/TechTarget
How to choose the right LLM for your needs
Selecting the best large language model for your use case requires balancing performance, cost and infrastructure considerations. Learn what to keep in mind when comparing LLMs.
Marius Sandbu • Oct. 16, 2024 -
Brand Experience Team/TechTarget
Types of AI algorithms and how they work
AI algorithms can help businesses gain a competitive advantage. Learn the main types of AI algorithms, how they work, and why companies must thoroughly evaluate benefits and risks.
Sean Kerner, Fred Tabsharani • Oct. 16, 2024 -
Brand Experience Team/TechTarget
How to effectively manage AI projects in 12 steps
AI is a high priority for companies but results often fall short of expectations. These 12 steps will help you successfully manage AI projects and deliver business value.
Mary Pratt • Oct. 9, 2024 -
Brand Experience Team/TechTarget
How small businesses can take advantage of AI
Small business owners see AI's potential for automation and transformation, yet concerns remain. This seven-step program will help AI implementations get off on the right track.
Mary Pratt • Oct. 8, 2024 -
Brand Experience Team/TechTarget
How to create a winning AI strategy for your business
To deliver real business value, AI projects must be aligned with organizational goals. Here is a 10-step program for developing an effective AI strategy, plus sample templates.
Mary Pratt • Oct. 8, 2024 -
Brand Experience Team/TechTarget
Artificial intelligence vs. human intelligence: Differences explained
Artificial intelligence is humanlike. There are differences, however, between natural and artificial intelligence. Here are three ways AI and human cognition diverge.
Michael Bennett • Oct. 7, 2024
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