CRM 3.0: Reimagining Customer Relationships Using AI AgentsThe Software as a Service (SaaS) model began when Salesforce launched its “End of Software” campaign in 2000 and went public only four years later. At the time, people were still buying software in a box. CRM software like Siebel was incredibly diffi...Aug 8, 2024 · 8 min readautonomics.hashnode.dev
Introduction to RAGA – Retrieval Augmented Generation and ActionsRetrieval-augmented generation (RAG) has made significant strides in enhancing the Language Model’s (LLM) ability to provide contextual and informed responses by leveraging external knowledge bases. The process chiefly involves an indexing stage to p...Oct 4, 2023 · 4 min readautonomics.hashnode.dev
Understanding Knowledge Embeddings in SuperAGIThe quality of output generated by AI agents is limited by LLM constraints such as information cutoff & lack of quality data for niche tasks, which can fail to deliver context-rich, domain-specific outputs. However, by integrating knowledge embedding...Sep 15, 2023 · 4 min readautonomics.hashnode.dev
Introduction to Agent Summary – Improving Agent Output by Using LTS & STMThe recent introduction of the “Agent Summary” feature in SuperAGI version 0.0.10 has brought a drastic difference in agent performance – improving the quality of agent output. Agent Summary helps AI agents maintain a larger context about their goals...Sep 12, 2023 · 3 min readautonomics.hashnode.dev
Building Autonomous Business Processes using AI Agent WorkflowsAgent Workflows provide an efficient solution to one of the most pressing challenges faced by businesses today – Automating the business processes that usually require knowledge workers to put relentless hours on repetitive tasks. This can be solved ...Sep 4, 2023 · 4 min readautonomics.hashnode.dev
