Is your organization more like a jellyfish or a flatworm?The author's "Jellyfish and Flatworm story has been remarkably effective at helping ... [executives] visualize the impact of AI on their customers, their products, and their employees... this story is about why Knowledge Representation (KR) must be the core of any cost-effective lo…
"despite the immense potential of LLMs, they come with a range of challenges... hallucinations, the high costs associated with training and scaling, the complexity of addressing and updating them, their inherent inconsistency, the difficulty of conducting audits and providing explanations, predominance of English language content... [they…
Asks: could LLMs be used to "create tools that sift and summarize scientific evidence for policymaking... [for] knowledge brokers providing presidents, prime ministers, civil servants and politicians with up-to-date information on how science and technology intersects with societal issues... [who must] nimbly navigate ... millions of scientif…
"how can you use ChatGPT to generate ideas and brainstorm within Obsidian?", which is currently my note-taking tool of choice. First, some generic advice for prompting:"be specific about the outcome that you want to achieve... providing a prompt that contains more descriptive language ...give preceding prompts ... [specify the] resp…
"“Document Search Chatbot” ... field common questions (FAQ’s) based on the content of several documents.... Azure Search to extract and rank key highlights from a set of text documents based on a user query. This user query and Azure Search results are then passed to OpenAI to be interpreted and formatted into a chat based response..."Wh…
" a step-by-step guide for building a document Q&A chatbot in an efficient way with llama-index and GPT API... ask the bot in natural language about your own documents/data... [see it] retrieving info from the documents and generating a response [1]... customer support, synthesizing user research, your personal knowledge management"K…
This piece captures and then explores exactly what I've always thought about the future direction of myhub.ai: imagine what would happen if you had your own personal AI assistant operating across your content - your public posts, private library (including content shared from friends, stuff in your reading queue, etc.) and the wider web, emph…
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