IT Toolbox
APRIL 26, 2024
Prompt engineering is the process of giving instructions to a generative AI to produce requested results. From content generation to code generation, prompt engineering offers endless possibilities. Explore the latest innovations in prompt engineering and discover how it is shaping the future of AI.
IT Toolbox
MARCH 6, 2023
Nanotechnology is the process of engineering materials at the atomic or molecular scale. Definition, Applications, and Use Cases appeared first on Spiceworks. The post What Is Nanotechnology?
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IT Toolbox
FEBRUARY 27, 2023
A platform engineer builds and supports a platform that acts as a shared framework for application development. The post Platform Engineer: Job Description, Key Skills, and Salary in 2023 appeared first on Spiceworks.
IT Toolbox
NOVEMBER 4, 2022
A blockchain engineer develops and operates decentralized applications that use distributed ledger technology. The post Blockchain Engineer: Job Description, Key Skills, and Salary in 2022 appeared first on.
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Information Week
JANUARY 3, 2024
Searching for faster, more efficient application delivery? Platform engineering promises improved developer productivity via self-service.
Forrester IT
NOVEMBER 13, 2023
If you believe the headlines, large language models (LLMs) will magically reinvent how generative AI (genAI)-powered business applications get built: “Just jam your knowledge into a fine-tuned, vector-embedding, prompt-engineered large language model from one of the big players.” Things just aren’t that easy.
Speaker: Dr. Greg Loughnane and Chris Alexiuk
Technology professionals developing generative AI applications are finding that there are big leaps from POCs and MVPs to production-ready applications. However, during development – and even more so once deployed to production – best practices for operating and improving generative AI applications are less understood.
Speaker: Maher Hanafi, VP of Engineering at Betterworks & Tony Karrer, CTO at Aggregage
💡 This new webinar featuring Maher Hanafi, VP of Engineering at Betterworks, will explore a practical framework to transform Generative AI prototypes into impactful products! There's no question that it is challenging to figure out where to focus and how to advance when it’s a new field that is evolving everyday.
Speaker: Anindo Banerjea, CTO at Civio & Tony Karrer, CTO at Aggregage
When developing a Gen AI application, one of the most significant challenges is improving accuracy. 💥 Anindo Banerjea is here to showcase his significant experience building AI/ML SaaS applications as he walks us through the current problems his company, Civio, is solving. .
Speaker: Daniel "spoons" Spoonhower, CTO and Co-Founder at Lightstep
Many engineering organizations have now adopted microservices or other loosely coupled architectures, often alongside DevOps practices. However, this increased velocity often comes at the cost of overall application performance or reliability. Prioritize engineering work by putting it in the context of end user experience.
Speaker: Prem Chandrasekaran
In his best-selling book Patterns of Enterprise Application Architecture, Martin Fowler famously coined the first law of distributed computing—"Don’t distribute your objects"—implying that working with this style of architecture can be challenging. How these strategies can be applied in different size engineering organizations.
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