Foundations of Vector Retrieval Sebastian Bruch : https://
arxiv.org/abs/2401.09350 #ArtificialIntelligence #DeepLearning #MachineLearning
RESEARCH
-

Foundations of Vector Retrieval: Essential Deep Learning Techniques
By
–
-

Strategy 5: Use External Tools for Knowledge Retrieval
By
–
Strategy 5: Use External Tools. Examples:
– Implement embeddings-based search for knowledge retrieval.
– Use code execution for accurate calculations or API calls.
– Provide ChatGPT access to specific functions. -

Systematic testing and evaluation of ChatGPT outputs
By
–
Strategy 6: Systematically Test and Evaluate ChatGPT Outputs. Examples:
– Implement a model-based evaluation: check if ChatGPT's answers include specific known facts.
– Use a systematic approach: restate the fact, find the closest citation in ChatGPT's answer, and judge its -
Why AI Engineers Must Master Language Model Fundamentals
By
–
Why should AI engineers learn the basics?
— Louis-François Bouchard 🎥🤖 (@Whats_AI) 18 janvier 2024
It's important for AI engineers to understand the basics, especially when working on language models.@jerryjliu0 thinks getting hands-on experience with the models is crucial to understanding how they work in different situations. Even… pic.twitter.com/vGyTMs41QxWhy should AI engineers learn the basics? It's important for AI engineers to understand the basics, especially when working on language models. @jerryjliu0 thinks getting hands-on experience with the models is crucial to understanding how they work in different situations. Even
-
GILL: Carnegie Mellon’s Innovative Multimodal Model
By
–
[#Article] GILL, the multimodal LLM from Carnegie Mellon University https://actuia.com/actualite/gill-le-llm-multimodal-de-luniversite-carnegie-mellon/
… #AI #artificialintelligence -
Compressing Neural Networks Using Network Projection
By
–
Compressing Neural Networks Using Network Projection! http://
spr.ly/6012rpxOI -

US AI Innovation Statistics Challenged by Research Data
By
–
No doubt US leads the world in AI innovations and top papers. But the statistics stated by @PGelsinger is just wrong. See below from the Emerging Technology Observatory (quoted by AI Index):
-
PAQ8: Historical Switching MoE Language Model by Mahoney
By
–
Of historical interest perhaps. PAQ8 ( see Figure 4 of https://
arxiv.org/pdf/1108.3298.
pdf
… ) by Matt Mahoney, who wasn’t into publishing papers, was for many years the leading switching MoE language model. -

2023: The Year of AI – Most Remarkable Artificial Intelligence Releases
By
–
2023: The Year of AI – The Most Remarkable #ArtificialIntelligence Releases #AI has undoubtedly made waves in 2023 and here we spotlight the most significant stories https://
journal.everypixel.com/2023-the-year-
of-ai
… #ChatGPT #chatbots #chatgpt4 #GenerativeAI #ML #innovation #tech #robots #CES2024 -
Teleoperated Robots: First Autonomous Actions Since 1950s
By
–
1/2 We've had "honest" teleoperated robots since the 1950's when they started to be used for handling nuclear material. In fact those follower robots (with human leader) were the first robots used for autonomous action. Heinrich Ernst (PhD advisor: Claude Shannon) 1961 at MIT.