LLMs

How Did Open Food Facts Fix OCR-Extracted Ingredients Using Open-Source LLMs?

Open Food Facts has tried to unravel this issue for years using Regular Expressions and existing solutions corresponding to Elasticsearch’s corrector, without success. Until recently.Because of the most recent advancements in artificial intelligence, we...

Agent Ecosystems, Data Integration, Open Source LLMs, and Other November Must-Reads

Our latest cohort of recent authorsEvery month, we’re thrilled to see a fresh group of authors join TDS, each sharing their very own unique voice, knowledge, and experience with our community. Should you’re searching...

Beyond Large Language Models: How Large Behavior Models Are Shaping the Way forward for AI

Artificial intelligence (AI) has come a great distance, with large language models (LLMs) demonstrating impressive capabilities in natural language processing. These models have modified the way in which we take into consideration AI’s ability...

Do LLMs Remember Like Humans? Exploring the Parallels and Differences

Memory is one of the crucial fascinating points of human cognition. It allows us to learn from experiences, recall past events, and manage the world's complexities. Machines are demonstrating remarkable capabilities as Artificial Intelligence...

The right way to Query a Knowledge Graph with LLMs Using gRAG

Google, Microsoft, LinkedIn, and plenty of more tech corporations are using Graph RAG. Why? Let’s understand it by constructing one from scratch.You could not understand it, but you’ve been interacting with Knowledge Graphs (KGs)...

Agentic AI: How Large Language Models Are Shaping the Way forward for Autonomous Agents

After the rise of generative AI, artificial intelligence is on the point of one other significant transformation with the arrival of agentic AI. This variation is driven by the evolution of Large Language Models...

Cognitive Prompting in LLMs

Can we teach machines to think like humans?Without cognitive prompting, the larger model scored about 87% on the maths problems. Once we added deterministic cognitive prompting (where the model followed a hard and fast...

DeepMind’s Michelangelo Benchmark: Revealing the Limits of Long-Context LLMs

As Artificial Intelligence (AI) continues to advance, the flexibility to process and understand long sequences of data is becoming more vital. AI systems at the moment are used for complex tasks like analyzing long...

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