Messages
11/9/2023
12 : 24
Edge 342: Who's Happy Potter? Inside One of the Most Fascinating Papers Published This Year
Microsoft Research's details a fine-tuning method for unlearning concepts in LLMs
11/8/2023
12 : 24
The Sequence Chat: Nathan Benaich, Air Street Capital About Investing in Generative AI
A conversation about the state of the generative AI market, new research breakthroughts, open source , opportunities for startups and many other insights.
11/7/2023
12 : 4
Edge 341: What is Prompt-Tuning?
A simple and quite effective technique to fine-tune LLMs.
11/6/2023
12 : 44
📝 Guest Post: Introduction to DiskANN and the Vamana Algorithm*
In this tutorial, Frank Liu, Solutions Architect at Zilliz, will deep dive into DiskANN, a graph-based indexing strategy, their first foray into on-disk indexes. Like HNSW, DiskANN avoids the problem
11/5/2023
12 : 14
DeepMind's AlphaFold-Latest is Pushing the Boundaries of Scientific Exploration
The model continues making breakthroughts in digital biology.
11/3/2023
11 : 44
📣 ML Engineering Event: Join HelloFresh, Remitly, Riot Games, Uber & more at apply(ops)
apply(ops) is just around the corner! Join the global ML community at this virtual event—speakers from companies like HelloFresh, Lidl Digital, Meta, PepsiCo, Riot Games, and more will share best
11/2/2023
11 : 14
Meet AutoGen: Microsoft's Super Innovative Framework for Autonomous Agents
A new open source framework that streamlines reasoning and communication with agents.
10/31/2023
11 : 4
Edge 339: What is Prefix-Tuning
One of the simplest ways to fine-tune LLMs
10/30/2023
11 : 34
📝 Guest Post: Adala – The First Open Source Data-Labeling Agent*
In this guest post, Jimmy Whitaker, Data Scientist in Residence at Human Signal, introduces Adala, an Autonomous Data Labeling Agent framework that harmonizes AI's computational power with human
10/29/2023
11 : 14
Generative AI is the New Wall Street Earnings Kingmaker, and Microsoft is the New Earnings King
Sundays, The Sequence Scope brings a summary of the most important research papers, technology releases and VC funding deals in the artificial intelligence space.
10/27/2023
11 : 44
📝 Guest Post: The Coming Wave of Specialized AI*
In this blogpost, Piero Molino, author of Ludwig.ai, CSO & Co-Founder at Predibase, will make the case for why smaller, faster, fine-tuned LLMs are poised to take over large, general AI models.
10/26/2023
11 : 14
Edge 338: Inside WebAgent: Google DeepMind's Instruction-Tuned LLM that can Complete Tasks on Websites
The model combines language understanding and web navigation.
10/24/2023
11 : 14
Edge 337: Understanding QLoRA
How a simple and effective optimization on LoRA resulted in an incredibly efficient fine-tuning method.
10/23/2023
11 : 44
📝 Guest Post: LLMs & humans: The perfect duo for data labeling
How to build a pipeline to achieve superhuman quality
10/22/2023
11 : 14
Fuyu-8B Makes the Case for Simple, Fast, and Powerful Generative AI Models
Sundays, The Sequence Scope brings a summary of the most important research papers, technology releases and VC funding deals in the artificial intelligence space.
10/20/2023
11 : 44
❗️🔎 Your expertise needed: weigh in on the ML Insider 2023 Survey
Take the ML Insider Survey Share your experience developing ML and compare it with other ML experts. We're happy to support cnvrg.io in creating the ML Insider Report. They reach out to thousands
10/19/2023
11 : 14
Inside OPRO: Google DeepMind’s New Method that Optimizes Prompts Better than Humans
The technique uses LLMs as prompt optimization agents.
10/19/2023
4 : 44
LLM Scaling Laws vs. Everything Else
Sundays, The Sequence Scope brings a summary of the most important research papers, technology releases and VC funding deals in the artificial intelligence space.
10/19/2023
4 : 4
📝 Guest Post: Retrieval Augmented Generation on Notion Docs via LangChain*
In this guest post, Yujian Tang, a developer advocate at Zilliz, explores how to enhance Notion documents with language model interactions using LangChain and Milvus. He lays out a step-by-step guide
10/19/2023
3 : 34
Edge 335: LoRA Fine-Tuning and Low-Rank Adaptation Methods
Diving into one of the most popular fine-tuning techniques for foundation models.