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5 biggest challenges with LLMs and how to solve them


Solving Four LLM Design Problems - Stardog

Solving Four LLM Design Problems · hallucinate falsehoods regularly (The Hallucination Problem) · contain incomplete, outdated, or wrong knowledge ...

Top 7 Challenges with Retrieval-Augmented Generation - Valprovia

... issues faced when working with RAG systems and discuss potential solutions to overcome them. ... it more suitable for the LLM to handle ...

Data Universe - Facebook

But despite the challenges, AI's potential to solve complex problems remains high. Discover the 5 biggest challenges AI faces today: https ...

LLM Observability: The 5 Key Pillars for Monitoring Large Language ...

What Issues Arise With LLMs? · Hallucination: The model's objective in training is to predict the next few characters. · Proliferation of calls: Even solving ...

Mitigate 3 Major LLM Security Threats to Protect Your Business

Today, it's essential to examine the key problems and attack vectors emerging due to the widespread use of AI integrations. In order to help ...

Stuff we figured out about AI in 2023 - Simon Willison's Weblog

2023 was the breakthrough year for Large Language Models (LLMs). I think it's OK to call these AI—they're the latest and (currently) most ...

Navigating the Challenges of LLMs in Big Data Warehouses - Secoda

LLMs primarily focus on pattern recognition and data analysis. They may not fully understand the business context or strategic goals of an ...

The three challenges of AI regulation - Brookings Institution

There are three main challenges for regulating artificial intelligence ... resolve as those same issues grow in the world of AI. It is ...

One LLM Alone Can't Solve Enterprise Business Problems

An emerging framework for getting multiple LLMs to work in concert is by chaining them together. ... Step 5: Feedback Loop: Post-human ...

Large language models can do jaw-dropping things. But nobody ...

And that's a problem. Figuring it out is one of the biggest scientific puzzles of our time and a crucial step towards controlling more ...

Large language models challenge the future of higher education

A third type of reaction to LLMs, and perhaps the only sustainable one, is to adapt and embrace them, as envisaged in a recent editorial in this ...

Francois Chollet, Mike Knoop - LLMs won't lead to AGI

They have to drill in these pathways of reasoning through certain kinds of problems. Let's take math, for example. It's not like you can just ...

What can LLMs never do? - by Rohit Krishnan - Strange Loop Canon

Every time over the past few years that we came up with problems LLMs can't do, they passed them with flying colours.

Large language model - Wikipedia

The largest and most capable LLMs are artificial neural networks built with a decoder-only transformer-based architecture, enabling efficient processing and ...

Fine-Tuning LLMs: Top 6 Methods, Challenges and Best Practices

What Does It Mean to Fine-Tune LLMs? Fine-tuning Large Language ... 5. Multi-Task Learning. Multi-task learning trains a model on a ...

5 Security Challenges in LLMs and Strategies to Prevent Them

In this blog post, we'll outline the top 5 security challenges in LLMs that need to be addressed and suggest proven strategies to help prevent security ...

Can LLMs Really Reason and Plan? - Communications of the ACM

First, called “fine tuning” is rather straightforward–you take a general LLM and fine tune it on planning problems (i.e., instances and their ...

Andrej Karpathy on X

Moravec's paradox in LLM evals I was reacting to this new benchmark of frontier math where LLMs only solve 2%. It was introduced because ...

Examining the Leading LLM Models: Top Programs and OWASP Risks

Individuals or systems that rely too much on LLMs risk increasing difficulties such as as miscommunications, disinformation, legal challenges, ...

What Are Large Language Models (LLMs)? - IBM

LLMs are a category of foundation models trained on immense amounts of data making them capable of understanding and generating natural language and other ...