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SaaStr
APRIL 26, 2024
At SaaStr AI Day , Mike Tamir, Head of AI at Shopify, and Rudina Seseri, founder and Managing Partner at Glasswing Ventures, level-set about where we are in the cycle for Enterprises adopting AI and the critical work being done at Shopify to leverage AI and solve real problems. The future of Enterprise is “Ambient AI.”
How To Buy Saas
MAY 26, 2025
Retrieval-Augmented Generation (RAG) is a cutting-edge approach in AI that combines large language models (LLMs) with real-time information retrieval to produce more accurate and context-aware outputs. Think of a standard LLM as a very smart student who has learned a lot of general information.
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Tom Tunguz
SEPTEMBER 8, 2024
Large language models are wonderful at ingesting large amounts of content & summarizing. Benn Stancil described LLMs as great averagers of information. 1 I haven’t found a way to goad an LLM to produce the rare result. Maybe I haven’t learned how to prompt an LLM well.
How To Buy Saas
MAY 27, 2025
The era of large language models (LLMs) is booming. In 2025, foundation models or generative AIs like GPT-4, Claude, Gemini, and open-source LLaMA are reshaping AI research, software development, and SaaS products. They differ in size, training data, capabilities, and openness. Notably, Gemini 1.5
Sales Hacker
MARCH 25, 2025
The GTM Podcast is available on any major directory, including: Apple Podcasts Spotify YouTube Ray Smith is the VP of AI Agents at Microsoft. Ray breaks down why the rise of AI agents is a tectonic shift, how businesses are already seeing ROI, and what it means for SaaS, team structure, and go-to-market strategies.
Neil Patel
SEPTEMBER 28, 2020
But in the best case, the partners will leverage more advanced technologies, such as machine learning, that can help make better sense of the vast amount of data that you will have. You will find that the best insights from your data come after the raw data is analyzed by a machine, and then made sense of by a human.
User Pilot
JULY 21, 2024
This is crucial for building reliable models. Feature Engineering : Data scientists transform raw data into features that are informative for machine learning models. Data analysis and modeling: Customer Segmentation : SaaS companies often have diverse customer bases.
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