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July 08.2025
3 Minutes Read

Mastering the Art of AI Prompts: Expert Techniques for Success

Hands holding a smartphone on a carpet, good AI prompt

Unlocking the Power of AI: What Makes a Good Prompt?

As artificial intelligence tools like ChatGPT and Copilot integrate more deeply into our daily workflows, the question of efficiency in interaction has become paramount. Just as proficiency with Microsoft Office tools was once the gold standard for job readiness, the ability to effectively engage with AI is now equally essential. But just asking an AI chatbot a simple question often leads to generic responses, highlighting the importance of how prompts are constructed.

The Art of Prompt Engineering: Understanding CATS

The process referred to as prompt engineering doesn’t involve complex technicalities; instead, it revolves around the clarity and detail of the content provided. A useful framework to follow is the acronym CATS—context, angle, task, and style. Implementing this model not only enriches the AI’s understanding but also the response quality.

1. Context: Setting the Stage for AI Responses

Providing thorough context can transform an AI’s response from basic to exceptional. For example, instead of simply asking how to draft a proposal, specifying your role and the nature of the proposal (like, "I'm a nonprofit director writing a grant proposal to a foundation that funds environmental education programs for urban schools") will give the AI concrete parameters to work within, ensuring that the output is actionable and targeted.

2. Angle: Shaping the Perspective of AI Responses

The angle allows users to dictate the ‘voice’ of the AI, effectively leveraging its capacity for perspective-taking. A prompt such as, "Act as a critical peer reviewer and identify weaknesses in my argument," or "Take on the role of a supportive mentor helping me improve this draft," tailors the conversation, guiding the AI toward a desired tone and focus.

3. Task: Clarity is Key for Actionable Insights

Clearly describing the task you want the AI to perform is vital. A vague request like "Help me with my presentation" could lead to unhelpful responses. Instead, specifying what you need—like, "Give me three ways to make my opening slide more engaging for an audience of small business owners"—encourages the AI to offer more practical and relevant advice.

4. Style: Tailoring AI Responses to Audience

Finally, incorporating style in your prompt can significantly affect the output format. By indicating whether you prefer a formal report or a casual email format, or asking for concise bullet points, you can guide the AI to match your needs, making the information more digestible for your audience.

The Human-AI Conversation: Why It Matters

In conclusion, mastering the art of prompt creation not only enhances the effectiveness of AI tools but encourages deeper conversations between humans and machines. Understanding how to provide context, specify angles, outline tasks, and dictate styles empowers users to unlock the full potential of AI technologies.

As the landscape of technology continues to evolve, the demand for 'AI fluency' in the workplace will likely grow. By sharpening your prompting skills, you're not just enhancing productivity—you are also positioning yourself as a competent and forward-thinking participant in the changing job market.

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07.10.2025

How the Conversational Analytics API Simplifies AI Data Queries

Update Unlocking Insights: The Conversational Analytics API in AIAs the world becomes more driven by data, businesses are increasingly seeking intuitive ways to extract meaningful insights from vast datasets. The Conversational Analytics API, powered by advanced AI technologies such as Gemini, allows users to interact with their data like never before. By employing natural language queries, users can access data stored in BigQuery or Looker without needing complex querying skills.Empowering Users: How It WorksThe heart of the Conversational Analytics API lies in its use of Natural Language to Query (NL2Query) technology, which translates everyday questions into executable queries. For instance, if a user asks, "What are my sales broken down by region?", the API does the heavy lifting by generating the appropriate SQL commands behind the scenes. This innovation democratizes access to data, making it more accessible to employees at all levels of an organization, regardless of their technical expertise.The Role of Context Retrieval in Data PrecisionOne of the standout features of this API is its context retrieval tool. This mechanism is crucial for ensuring that the data provided is not just accurate but also relevant to the user’s specific inquiries. It pulls essential information about the data's structure, such as schema details or field definitions from Dataplex and LookML models, helping the API to deliver highly contextual answers. By having a clear understanding of the underlying data, the API becomes more reliable and serves as a trusted resource for businesses.Future Predictions: The Expansion of AI and Natural Language InterfacesLooking ahead, the integration of natural language processing in business intelligence tools represents just the beginning of a larger trend. As AI technology continues to evolve, we can expect even more sophisticated language models that not only interpret user queries but also suggest insights, trends, and data patterns. This could lead to significant efficiencies in how organizations make data-driven decisions, minimizing the lag time typically associated with data querying and reporting.Bridging the Gap Between Technical and Non-Technical UsersThe Conversational Analytics API is a step towards bridging the gap between technical experts and non-technical users. With advancements in AI making their way into everyday business applications, organizations can leverage their existing tools, like Slack, to enhance productivity and foster collaboration across teams. Enabling everyone from the sales team to the finance department to ask questions about their data can lead to better decision-making and more cohesive strategies based on reliable insights.Practical Insights for ImplementationFor businesses considering the implementation of the Conversational Analytics API, it’s essential to start with proper training and understanding of how to frame questions effectively. Developing a culture that embraces asking questions about data can foster an environment of curiosity and encourage employees to leverage data in their daily tasks.The Path Forward: Embracing AI in Everyday BusinessAs AI technologies continue to develop, tools like the Conversational Analytics API will reshape how companies interact with their data. Early adopters will likely pave the way for competitors by enhancing responsiveness and agility in data-driven environments.

07.09.2025

Can ChatGPT Truly Understand Color? Insights from Recent Study

Update Understanding ChatGPT's Interaction with Color PerceptionAt its core, ChatGPT operates not through visual experience but through textual analysis. This AI model processes vast amounts of linguistic data, identifying patterns that echo the rich metaphors of color in everyday language. Consider phrases like “feeling blue” or “seeing red”—these are woven into human communication, giving AI models context without actual sensory experience. The implications of this characteristic become evident in a study published in *Cognitive Science* that delves into whether ChatGPT truly grasps the meaning of color as humans perceive it.Insights from New ResearchThe recent research led by Professor Lisa Aziz-Zadeh at the University of Southern California sheds light on how different groups—including color-seeing adults, color-blind adults, artists, and ChatGPT itself—assign colors to various stimuli. The findings suggest that while ChatGPT can understand color-related language, it does so from a significantly different perspective than humans. As Aziz-Zadeh notes, ChatGPT's responses might reflect what it has “read” rather than what it has “seen.” This raises questions about the depth of its understanding compared to the embodied experiences that inform human cognition.The Role of Embodied ExperiencesEmbodied cognition refers to the notion that our understanding and experiences are influenced by our interactions with the physical world. Humans perceive colors not merely through words but through visual encounters that shape their understanding of them. This study opens a discussion about whether language, when untethered from sensory perception, can fully convey the significance of color in human emotions and culture. For instance, “red” can signify both love and anger; perceptions which are rich in context, meaning, and emotion.Future Implications for AI UnderstandingThe research prompts a vital discussion on the future of artificial intelligence and its capabilities. While AI's understanding of language is profoundly advanced, can it ever reach the level of nuanced perception that humans exhibit? As AI technologies continue to evolve, gaining insight into limitations is equally important as celebrating advancements. The challenge lies in bridging the gap between linguistic data and lived experiences, a frontier that machine learning and AI may soon explore more substantially.Broader Conversations About AI and Human InteractionEngaging with these questions ties into wider conversations about the roles and responsibilities of AI in society. How we perceive AI's capabilities influences ongoing debates in AI ethics and policy. As machines begin to mimic human interactions more closely, establishing boundaries around the extent to which they can claim understanding becomes crucial. Understanding AI's limitations can help prevent overconfidence and guide appropriate applications in areas such as education and healthcare.The Potential of AI to Enhance Our UnderstandingWith ongoing research and advancements in machine learning, there is potential for AI to provide valuable insights into human cognition. The interplay between AI models and the sensory experiences of humans could lead to enriched methods of communication and learning. For instance, by analyzing data on how people conceptualize color, researchers could develop AI systems that better address human emotional needs, creating tools that are responsive to language nuances and cultural contexts.In conclusion, the intersection of artificial intelligence and embodied cognition raises intriguing questions about understanding and perception in both humans and machines. As we advance technologically, maintaining a balanced perspective on these developments and their implications will be essential. Those interested in the evolving landscape of AI and its societal impacts must remain informed and engaged.

07.09.2025

Unlock New AI Performance Levels with Google Cloud Managed Lustre

Update Revolutionizing AI Workloads with Google Cloud Managed Lustre In an age where artificial intelligence (AI) and machine learning (ML) are transforming industries, the performance and efficiency of computational resources are paramount. Google Cloud has recently launched its Managed Lustre service, designed to accelerate AI workloads and enhance data processing capabilities. This innovative solution, bolstered by DDN’s EXAScaler technology, promises not only speed but also flexibility to meet diverse user needs. Understanding Google Cloud Managed Lustre's Performance Capabilities The Managed Lustre solution stands out with its four tailored performance tiers, offering throughput ranging from 125 MB/s to 1000 MB/s per TiB of storage capacity. With the ability to scale up to 8 PB of storage, it becomes an essential tool for organizations looking to optimize their AI/ML tasks. The key benefits include: High-throughput Inference: Near-real-time inference and rapid data processing are crucial for AI applications, and Managed Lustre delivers by ensuring low latency and high parallel throughput. Large-scale Model Training: The architecture supports deep learning models requiring quick access to extensive datasets, effectively reducing idle time for GPUs and TPUs. Efficient Checkpointing: The ability to quickly save and restore large models allows for more streamlined training processes. Data Preprocessing: The platform significantly simplifies processes like feature extraction and dataset preparation, making it ideal for data-intensive projects. Expanding the Scope of Application beyond AI Interestingly, Managed Lustre's utility extends beyond AI and ML; it also excels in traditional high-performance computing (HPC) scenarios such as computational fluid dynamics and genomic sequencing. The system's design caters to tasks that require massive datasets and real-time high-concurrency access, thus broadening its appeal across scientific research and industry. The Future of AI Workloads and Managed Lustre As organizations increasingly rely on AI for enhancing operational efficiency, the demand for robust AI solutions like Managed Lustre will undoubtedly grow. Cutting-edge technology like this not only enhances data processing capabilities but also represents a significant step toward making AI more accessible and efficient for various industries. Conclusion: Embracing Innovation in AI In conclusion, Google Cloud Managed Lustre is a game-changer for organizations dealing with AI and ML workloads. Its distinct performance tiers and robust architecture help businesses to maximize their computational capabilities, streamline operations, and stay ahead in the competitive tech landscape. As we continue to embrace advancements in technology, exploring tools like Managed Lustre will be essential for unlocking new potentials in various fields.

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#2368","city":"Orlando","state":"FL","zip":"32804","email":"support@edensmail.com","tos":"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","privacy":"PHA+PHN0cm9uZz5QUklWQUNZPC9zdHJvbmc+PC9wPgoKPHA+PHN0cm9uZz5UaGUgaW5mb3JtYXRpb24gcHJvdmlkZWQgZHVyaW5nIHRoaXMgcmVnaXN0cmF0aW9uIGlzIGtlcHQgcHJpdmF0ZSBhbmQgY29uZmlkZW50aWFsLCBhbmQgd2lsbCBuZXZlciBiZSBkaXN0cmlidXRlZCwgY29waWVkLCBzb2xkLCB0cmFkZWQgb3IgcG9zdGVkIGluIGFueSB3YXksIHNoYXBlIG9yIGZvcm0uIFRoaXMgaXMgb3VyIGd1YXJhbnRlZS48L3N0cm9uZz48L3A+Cgo8cD48c3Ryb25nPklOREVNTklUWTwvc3Ryb25nPjwvcD4KCjxwPjxlbT5Zb3UgYWdyZWUgdG8gaW5kZW1uaWZ5IGFuZCBob2xkIHVzLCBhbmQgaXRzIHN1YnNpZGlhcmllcywgYWZmaWxpYXRlcywgb2ZmaWNlcnMsIGFnZW50cywgY28tYnJhbmRlcnMgb3Igb3RoZXIgcGFydG5lcnMsIGFuZCBlbXBsb3llZXMsIGhhcm1sZXNzIGZyb20gYW55IGNsYWltIG9yIGRlbWFuZCwgaW5jbHVkaW5nIHJlYXNvbmFibGUgYXR0b3JuZXlzJiMzOTsgZmVlcywgbWFkZSBieSBhbnkgdGhpcmQgcGFydHkgZHVlIHRvIG9yIGFyaXNpbmcgb3V0IG9mIENvbnRlbnQgeW91IHJlY2VpdmUsIHN1Ym1pdCwgcmVwbHksIHBvc3QsI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