Remove writing llm-problems
article thumbnail

Latest Modern Advances in Prompt Engineering: A Comprehensive Guide

Unite.AI

Prompt Engineering Advanced Prompting Strategies for Complex Problem-Solving While CoT prompting has proven effective for many reasoning tasks, researchers have explored more advanced prompting strategies to tackle even more complex problems. Example: Input: Natalie has 3 apples, and she wants to share them equally with her 2 friends.

article thumbnail

The Shift from Models to Compound AI Systems

BAIR

AlphaGeometry , likewise, combines an LLM with a traditional symbolic solver to tackle olympiad problems. In enterprises, our colleagues at Databricks found that 60% of LLM applications use some form of retrieval-augmented generation (RAG) , and 30% use multi-step chains. LLM agents that call external tools)?

LLM 364
professionals

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

The State of Multilingual LLMs: Moving Beyond English

Unite.AI

This English dominance also prevails in LLM development and has resulted in a digital language gap, potentially excluding most people from the benefits of LLMs. To solve this problem for LLMs, an LLM that can be trained in different languages and perform tasks in different languages is needed.

LLM 317
article thumbnail

How to prevent prompt injection attacks

IBM Journey to AI blog

What are prompt injection attacks, and why are they a problem? Prompt injections are a type of attack where hackers disguise malicious content as benign user input and feed it to an LLM application. The hacker’s prompt is written to override the LLM’s system instructions, turning the app into the attacker’s tool.

LLM 210
article thumbnail

Will LLM and Generative AI Solve a 20-Year-Old Problem in Application Security?

Unite.AI

For the past two decades, the problem of application security has persisted, with traditional methods often falling short in detecting and mitigating emerging threats. Why the Problem Requires New Tech The problem of application security is multi-faceted and complex. GitHub) that are partially tagged for security issues.

LLM 275
article thumbnail

Open source large language models: Benefits, risks and types

IBM Journey to AI blog

Large language models (LLMs) are foundation models that use artificial intelligence (AI), deep learning and massive data sets, including websites, articles and books, to generate text, translate between languages and write many types of content. The license may restrict how the LLM can be used.

article thumbnail

This AI Research from Stanford and UC Berkeley Discusses How ChatGPT’s Behavior is Changing Over Time

Marktechpost

However, it is impossible to foresee how modifications in the model would affect its output because of the opaque nature of the process and the impact of these updates on LLM behavior. The problem of LLM updates and their impacts makes it difficult to incorporate these models into intricate processes. Check out the Report.