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AI and Disability

AI and Disability

Dr. Johnathan Flowers of American University recently sparked a conversation on Bluesky regarding a statement from the organizers of NaNoWriMo, which endorsed the use of generative AI technologies, such as LLM chatbots, in this year’s event. Dr. Flowers expressed concern about the implication that AI assistance was necessary for accessibility, arguing that it could undermine

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AI Assistants Using LangGraph

AI Assistants Using LangGraph

In the evolving world of AI, retrieval-augmented generation (RAG) systems have become standard for handling straightforward queries and generating contextually relevant responses. However, as demand grows for more sophisticated AI applications, there is a need for systems that move beyond simple retrieval tasks. Enter AI agents—autonomous entities capable of executing complex, multi-step processes, maintaining state

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Zendesk Launches AI Agent Builder

Zendesk Launches AI Agent Builder

Zendesk Launches AI Agent Builder and Enhances Agent Copilot Zendesk has unveiled its AI Agent Builder, a key feature in a series of significant updates across its platform. This new tool enables customer service teams to create bots—now referred to as “AI Agents”—using natural language descriptions. For example, a user might input: “A customer wants

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Transforming Fundraising for Nonprofits

Transforming Fundraising for Nonprofits

Tectonic’s Expertise in Salesforce Nonprofit Cloud: Transforming Fundraising for Nonprofits Salesforce’s Nonprofit Cloud (NPC) is revolutionizing how organizations manage their fundraising, offering tools specifically designed to meet the unique needs of the nonprofit sector. A standout feature of Nonprofit Cloud is its comprehensive fundraising functionality, which goes beyond simple transaction management to support the entire

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Strawberry AI Models

Strawberry AI Models

Since OpenAI introduced its “Strawberry” AI models, something intriguing has unfolded. The o1-preview and o1-mini models have quickly gained attention for their superior step-by-step reasoning, offering a structured glimpse into problem-solving. However, behind this polished façade, a hidden layer of the AI’s mind remains off-limits—an area OpenAI is determined to keep out of reach. Unlike

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Communicating With Machines

Communicating With Machines

For as long as machines have existed, humans have struggled to communicate effectively with them. The rise of large language models (LLMs) has transformed this dynamic, making “prompting” the bridge between our intentions and AI’s actions. By providing pre-trained models with clear instructions and context, we can ensure they understand and respond correctly. As UX

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