Amidst all the buzz and hype surrounding LLMs, we want to bring a brief spotlight on ML algorithms. Most algorithms have to do with tabular data and there are multiple steps involved in iterating and maintaining machine learning models in production. Using an MLOps platform
@abacusai
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RAG vs Fine-Tuning: Agricultural Domain Case Study
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RAG vs. Fine-Tuning – A Case Study on Agriculture Our customers commonly ask us if we can fine-tune the LLM for their domain. Of course we can, but it depends on data! If you have several supervised examples, we can fine-tune a model. Additionally, RAG + fine-tuning will
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Abacus AI Releases MetaMathFewShot Open-Source LLM Dataset
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We have several open-source AI contributions to share. MetaMathFewShot – open-source LLMs struggle on math and reasoning tasks. MetaMath is a popular dataset used to fine-tune open-source LLMs and improve performance. We’re introducing MetaMathFewShot which has a random number
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Key Research Topics for Improving RAG Accuracy in LLM Applications
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A good custom LLM application typically involves RAG and while naive RAG is easy to implement, it rarely performs well. Here are key areas research topics in RAG that are essential for increasing accuracy of custom LLM apps In-Context Learning – LLMs do poorly when you send a
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Abacus AI Webinar on AI Agents and ChatLLM Reaches 2000 RSVPs
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We are almost 2000+ RSVPs for our AI Agents and ChatLLM tomorrow! Our CEO, @bindureddy is going to kick off the webinar tomorrow with a tech talk about LLM landscape. You can RSVP here –
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Mitigating LLM Hallucinations: RAG and Prompt Tuning Strategies
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What are some mitigation techniques against LLM hallucinations? We have found that RAG combined with some prompt tuning usually works best. By giving the LLM strict instructions, it will respond with content that is sent in the context. At Abacus AI, all our deployed LLMs in
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Build AI Agents On All Your Structured And Unstructured Data
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Build AI Agents On All Your Structured And Unstructured Data
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Free Webinar on RAG Systems, ChatLLMs, and AI Agents
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We at http://
Abacus.AI are hosting a free webinar on RAG systems, ChatLLMs, & AI Agents next week! We kick-off with a brief overview of LLMs and and recent developments in the AI landscape and also cover/provide a demonstration on the following: •Chat/Data/DocLLMs – -
DataLLM: Ask Questions About Your Data with AI
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Use LLMs to get insights from your data with DataLLM How does it work? You ask chatbot questions and insights about your data, and the AI agent will generate code, run queries, understand the results, and present answers. No need to dig through reports and dashboards. It’s
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LLM Production Challenges: Hallucinations and Agent Error Rates
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We have not seen too many LLM apps and agents in production yet due to LLMs hallucinating or making mistakes. Autonomous agents have way too high of an error rate for any tasks besides straight forward tasks. At http://
Abacus.AI, we have been thinking of this problem;