Access to AI for Non-Profits
Achiev with AI Unlocks the Power of Responsible Language AI
Emerging AI tools like Claude, ChatGPT, and Copilot can generate human-quality text and code without needing technical experts – achieving in minutes what once took days.
Advanced language models can generate human-quality text and code, achieving in minutes what once took days. To fully benefit, organizations need to proactively build skills for addressing risks around bias, accuracy and responsible usage.
Achiev with AI bridges this gap. We empower social impact organizations to evaluate options tailored to their needs. Guiding teams to establish oversight reducing risks while maximizing productivity gains that let them better serve communities.
The result? Affordable access to AI’s benefits independent of an organization’s technical maturity. Saving time on rote tasks. Enabling more personalized supporter experiences. We enable deploying LLMs helpfully, and accountably – without needing specialized expertise.
How can your non-profit strategically level up with language AI? Let’s connect.
What are LLMs?
Large language models (LLMs) are like super-powered AI assistants trained on massive amounts of text data. They can generate different creative text formats, translate languages, answer your questions in an informative way, and even help you code!
How can non-profits benefit from LLMs?
- Boost efficiency: Generate engaging social media posts, website copy, or even fundraising materials in a fraction of the time.
- Enhance communication: Answer frequently asked questions from supporters, personalize communication, or translate materials into different languages, breaking down language barriers.
- Uncover hidden insights: Gain valuable insights from donor data, social media conversations, or website traffic to inform your strategies.
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Here’s a quick comparison of four popular LLMs, they are constantly evolving:
| Focus | Safety, ethics, and following instructions | Integrates with Google search. | Creative text formats and engaging writing style. | Leverages the same model as OpenAI, and integrates with Microsoft 365 and Bing. | A tool that provides clear, factual answers by searching the internet in real-time, exclusively using referenceable content without inventing information. |
| Link | Anthropic Claude | Google Gemini | OpenAI ChatGPT | Microsoft Copilot | Perplexity |
- Review the Responsible AI Page – Every user must understand how bias can become inadvertently reflected in AI systems lacking sufficient governance. Models have limitations.
- Use Prompt Tips – Carefully crafted queries can yield dramatically higher quality outputs. Phrasing, examples, and follow-up clarification questions enable more accurate responses.
- Compare Different Models – Trying multiple large language models around the same prompt can highlight variability in strengths and weaknesses. Creating a leaderboard builds intuition around reliability over time.
Important considerations:
- LLMs are still under development and can make mistakes.
- Careful prompting and guidance are essential to achieve desired results.
- Be mindful of ethical implications and potential biases, especially for sensitive tasks.
- Use the prompt tips, they’ll dramatically improve the quality of the results
- Try different models and compare the outputs. You can have each one compete against each other
Overall, LLMs offer exciting potential for non-profits to streamline workflows, improve communication, and gain valuable insights. However, it is crucial to approach them with a critical lens and understand their limitations.