Introducing Wren Engine | WrenAI
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Introducing Wren Engine | WrenAI
AI That Quacks: Introducing DuckDB-NSQL-7B, A LLM for DuckDB2024/01/25BY Till Döhmen and Jordan TiganiSubscribe to MotherDuck BlogE-mailAlso subscribe to other MotherDuck updatesSubmitWhat does a database have to do with AI, anyway?After a truly new technology arrives, it makes the future a lot harder to predict. The one thing you can be sure of is... See more
Till Döhmen • AI That Quacks: Introducing DuckDB-NSQL-7B, A LLM for DuckDB
Nicolay Gerold added
SQL has limitations as it is built on relational concepts and relies on binary joins.
The future of databases is shifting towards relational knowledge graphs, allowing the flexibility to work with various data structures beyond tables.
Businesses are moving towards explicitly modeling business semantics and logic, which are often stored in document... See more
The future of databases is shifting towards relational knowledge graphs, allowing the flexibility to work with various data structures beyond tables.
Businesses are moving towards explicitly modeling business semantics and logic, which are often stored in document... See more
Nicolay Gerold • Tweet
Nicolay Gerold added
- Essences vs. sequences
In a pre-AI world, whether you were building software or teams, or writing books or marketing plans, you needed to strip the problems you were facing down to their bare elements—their essence—and work your way forward from there. In building software, you need to define your core user and the problem you want to solve; in writ
... See moreDan Shipper • Five New Thinking Styles for Working With Thinking Machines
Kaustubh Sule added
Impact of AI on Problem-Solving Methodologies: Artificial Intelligence (AI) has significantly transformed problem-solving methodologies across various fields, enhancing analytical capabilities and decision-making processes. By leveraging machine learning algorithms and data analysis, AI can identify patterns and generate insights that humans may overlook, leading to more efficient and effective solutions. Furthermore, AI tools facilitate collaboration among teams, enabling them to approach complex challenges with a combination of human creativity and computational power.
Andrew Bennett added
memary: Open-Source Longterm Memory for Autonomous Agents
memary demo
Why use memary?
Agents use LLMs that are currently constrained to finite context windows. memary overcomes this limitation by allowing your agents to store a large corpus of information in knowledge graphs, infer user knowledge through our memory modules, and only retrieve relevan... See more
memary demo
Why use memary?
Agents use LLMs that are currently constrained to finite context windows. memary overcomes this limitation by allowing your agents to store a large corpus of information in knowledge graphs, infer user knowledge through our memory modules, and only retrieve relevan... See more
GitHub - kingjulio8238/memary: Longterm Memory for Autonomous Agents.
Nicolay Gerold added
Data
AutoGen's design offers multiple advantages: a) it gracefully navigates the strong but imperfect generation and reasoning abilities of these LLMs; b) it leverages human understanding and intelligence, while providing valuable automation through conversations between agents; c) it simplifies and unifies the implementation of complex LLM workflows as... See more
r/singularity - Reddit
Nicolay Gerold added
Chaining LLM Agents instead of LLM calls. Seems like a pretty heavy prompt engineering effort.
They are pushing for agents that are specialized in a certain tasks through RAG / finetuning, where CAMEL and other frameworks failed.
One interesting area for exploration might be finetuning LLMs for collaboration before finetuning them for tasks.
Darren LI and added