C4AI Expedition Aya - Closing Ceremony

Cohere · Beginner ·🤖 AI Agents & Automation ·1y ago
At this event, we marked the end of Expedition Aya, our six-week global open-build challenge designed to jumpstart multilingual research initiatives. The event featured presentations from all participating teams, with updates on their progress. Judging by Sebastian Ruder, Marzieh Fadaee, and Alice Schoenauer Sebag, awarded top teams with Cohere API credits. Let’s celebrate multilingual research and look ahead to projects to come. 00:00:00 Welcome and Intro 00:04:42 Multi-Agent Aya for Workforce 00:11:33 MCM: Multilingual LLM Capability For Crisis Management 00:15:44 Evaluating Reward Models in Multilingual Settings 00:23:07 Identifying mislabelled samples in the Aya dataset 00:30:26 Synthetic Multilingual Instruction Generation 00:36:35 DistAYA 00:43:28 MLCC: Multilingual Climate Chatbot 00:49:30 Maya: Multimodal Aya 00:57:01 Multilingual Machine Generated Text Portion Detection 01:02:05 Sanskriti Aya: Designing Linguistic Quality Index to analyze conversational capabilities of LLMs 01:11:04 Doclingual: Multilingual Document Understanding 01:19:55 Mechanistically Understanding Aya for Safety Steering 01:25:16 Samskrutha LLM 01:29:50 Enhancing Sinhala NLP 01:35:19 The Language Effect 01:42:07 SpeechAya 01:47:26 SafeAya: Multilingual Adversarial Robustness 01:56:55 Global Exams 02:02:44 StAyaL: Multilingual Style Transfer 02:47:46 Perplexity vs Model Performance Evaluation 02:13:26 Announcing C4AI Research Office Hours 02:17:28 Results from the judges
Watch on YouTube ↗ (saves to browser)
Sign in to unlock AI tutor explanation · ⚡30

Playlist

Uploads from Cohere · Cohere · 0 of 60

← Previous Next →
1 Andreas Madsen on Independent Research and Interpretability
Andreas Madsen on Independent Research and Interpretability
Cohere
 2 Plex: Towards Reliability using Pretrained Large Model Extensions
Plex: Towards Reliability using Pretrained Large Model Extensions
Cohere
 3 Independent Research Panel Discussion
Independent Research Panel Discussion
Cohere
 4 The Future of ML Ops: Open Challenges and Opportunities
The Future of ML Ops: Open Challenges and Opportunities
Cohere
 5 C4AI Special - Grad School Applications
C4AI Special - Grad School Applications
Cohere
 6 Cohere For AI Fireside Chat: Samy Bengio
Cohere For AI Fireside Chat: Samy Bengio
Cohere
 7 Cohere For AI - Scholars Program Information Session
Cohere For AI - Scholars Program Information Session
Cohere
 8 Modular and Composable Transfer Learning with Jonas Pfeiffer
Modular and Composable Transfer Learning with Jonas Pfeiffer
Cohere
 9 Jay Alammar Presents Large Language Models for Real World Applications
Jay Alammar Presents Large Language Models for Real World Applications
Cohere
 10 Catherine Olsson - Mechanistic Interpretability: Getting Started
Catherine Olsson - Mechanistic Interpretability: Getting Started
Cohere
 11 How To Prompt Engineer a Tech Interview App | TOHacks 2022 Winners
How To Prompt Engineer a Tech Interview App | TOHacks 2022 Winners
Cohere
 12 C4AI Sparks: Samy Bengio
C4AI Sparks: Samy Bengio
Cohere
 13 BERTopic for Topic Modeling - Maarten Grootendorst - Talking Language AI Ep#1
BERTopic for Topic Modeling - Maarten Grootendorst - Talking Language AI Ep#1
Cohere
 14 Exploring News Headlines With Text Clustering | Jay Alammar
Exploring News Headlines With Text Clustering | Jay Alammar
Cohere
 15 Scale TransformX | Fireside Chat: Aidan Gomez and Alexandr Wang
Scale TransformX | Fireside Chat: Aidan Gomez and Alexandr Wang
Cohere
 16 Making Large Language Models Accessible | Scale AI Fireside chat with Bill MacCartney
Making Large Language Models Accessible | Scale AI Fireside chat with Bill MacCartney
Cohere
 17 Intro to KeyBERT - BERTopic for Topic Modeling
Intro to KeyBERT - BERTopic for Topic Modeling
Cohere
 18 Intro to PolyFuzz - BERTopic for Topic Modeling
Intro to PolyFuzz - BERTopic for Topic Modeling
Cohere
 19 API Design Philosophy - BERTopic for Topic Modeling
API Design Philosophy - BERTopic for Topic Modeling
Cohere
 20 Code demo of BERTopic - BERTopic for Topic Modeling
Code demo of BERTopic - BERTopic for Topic Modeling
Cohere
 21 Short texts vs long texts in BERTopic- BERTopic for Topic Modeling
Short texts vs long texts in BERTopic- BERTopic for Topic Modeling
Cohere
 22 How People can help BERTopic - BERTopic for Topic Modeling
How People can help BERTopic - BERTopic for Topic Modeling
Cohere
 23 Cohere For AI: Training Sensorimotor Agency in Cellular Automata with Bert Chan
Cohere For AI: Training Sensorimotor Agency in Cellular Automata with Bert Chan
Cohere
 24 Cohere API Community Demos | October 2022
Cohere API Community Demos | October 2022
Cohere
 25 Perfect Prompt Demo By Arjun Patel
Perfect Prompt Demo By Arjun Patel
Cohere
 26 Project Idea Generator Demo By Tobechukwu Okamkpa
Project Idea Generator Demo By Tobechukwu Okamkpa
Cohere
 27 SuperTransformer Demo By Amir Nagri and Team Megatron
SuperTransformer Demo By Amir Nagri and Team Megatron
Cohere
 28 Cohere For AI Fireside Chat: Pablo Samuel Castro
Cohere For AI Fireside Chat: Pablo Samuel Castro
Cohere
 29 How Startups Can Use NLP to Build a Competitive Moat
How Startups Can Use NLP to Build a Competitive Moat
Cohere
 30 Build Chatbots Faster with Large Language Models
Build Chatbots Faster with Large Language Models
Cohere
 31 Tools to Improve Training Data - Vincent Warmerdam - Talking Language AI Ep#2
Tools to Improve Training Data - Vincent Warmerdam - Talking Language AI Ep#2
Cohere
 32 Utku Evci - Sparsity and Beyond Static Network Architectures
Utku Evci - Sparsity and Beyond Static Network Architectures
Cohere
 33 Adding human intelligence to ML models with human-learn #shorts #machinelearning #nlp
Adding human intelligence to ML models with human-learn #shorts #machinelearning #nlp
Cohere
 34 Iterating on your data with doubtlab - Tools to Improve Training Data
Iterating on your data with doubtlab - Tools to Improve Training Data
Cohere
 35 Adding Human Intelligence to ML models with Human learn - Tools to Improve Training Data
Adding Human Intelligence to ML models with Human learn - Tools to Improve Training Data
Cohere
 36 Scikt Learn embeddings helpers with Embetter - Tools to Improve Training Data
Scikt Learn embeddings helpers with Embetter - Tools to Improve Training Data
Cohere
 37 Building Cohere API Demo App With Streamlit | Adrien Morisot
Building Cohere API Demo App With Streamlit | Adrien Morisot
Cohere
 38 Rosanne Liu - career creation for non-standard candidates
Rosanne Liu - career creation for non-standard candidates
Cohere
 39 Giving computers many human languages with Cohere's multilingual embeddings
Giving computers many human languages with Cohere's multilingual embeddings
Cohere
 40 Learning by Distilling Context with Charlie Snell
Learning by Distilling Context with Charlie Snell
Cohere
 41 Sentence Transformers and Embedding Evaluation - Nils Reimers - Talking Language AI Ep#3
Sentence Transformers and Embedding Evaluation - Nils Reimers - Talking Language AI Ep#3
Cohere
 42 Reflecting on for.ai...
Reflecting on for.ai...
Cohere
 43 Create a Custom Language Model with Surge AI and Cohere
Create a Custom Language Model with Surge AI and Cohere
Cohere
 44 Cohere API Community Demos | November 2022
Cohere API Community Demos | November 2022
Cohere
 45 Cohere API Community Demos | December 2022
Cohere API Community Demos | December 2022
Cohere
 46 Cohere For AI Presents: Colin Raffel
Cohere For AI Presents: Colin Raffel
Cohere
 47 Lucas Beyer - FlexiViT: One Model for All Patch Sizes
Lucas Beyer - FlexiViT: One Model for All Patch Sizes
Cohere
 48 What is Neural Search? Nils Reimers - Sentence Transformers and Embedding Evaluation
What is Neural Search? Nils Reimers - Sentence Transformers and Embedding Evaluation
Cohere
 49 Evaluating Information Retrieval with BEIR
Evaluating Information Retrieval with BEIR
Cohere
 50 Evaluating Embeddings with MTEB Massive text embeddings benchmark - Nils Reimers
Evaluating Embeddings with MTEB Massive text embeddings benchmark - Nils Reimers
Cohere
 51 High quality text classification with few training examples with SetFit
High quality text classification with few training examples with SetFit
Cohere
 52 Multilingual and cross lingual embeddings - Nils Reimers
Multilingual and cross lingual embeddings - Nils Reimers
Cohere
 53 Developing open-source software: lessons, benefits, and challenges - Nils Reimers
Developing open-source software: lessons, benefits, and challenges - Nils Reimers
Cohere
 54 Ask Me Anything with Ed Grefenstette, Head of Machine Learning at Cohere
Ask Me Anything with Ed Grefenstette, Head of Machine Learning at Cohere
Cohere
 55 HyperWrite Powers Its Generative AI Service with Cohere
HyperWrite Powers Its Generative AI Service with Cohere
Cohere
 56 EMNLP 2022 Conference Special Edition - Talking Language AI #4
EMNLP 2022 Conference Special Edition - Talking Language AI #4
Cohere
 57 Cohere API Community Demos | January 2023
Cohere API Community Demos | January 2023
Cohere
 58 C4AI Sparks: Rosanne Liu on Career Creation for Non-Standard Candidates
C4AI Sparks: Rosanne Liu on Career Creation for Non-Standard Candidates
Cohere
 59 Michael Tschannen - Image-and-Language Understanding from Pixels Only
Michael Tschannen - Image-and-Language Understanding from Pixels Only
Cohere
 60 How to Add AI to your App
How to Add AI to your App
Cohere

Related AI Lessons

⚡
How to Detect Fraud in Documents Using AI in PHP
Detect fraudulent documents using AI in PHP to prevent financial losses and ensure authenticity
Medium · AI
 ⚡
Google Quietly Built a System to Tell You If What You Are Looking at Is Real
Google developed a system to detect AI-generated content, helping to verify the authenticity of images, audio, and video
Medium · AI
 ⚡
The AI Ownership Crisis: Who’s Actually Steering the Ship?
As companies rush to integrate AI, a crisis of ownership and control emerges, threatening to upend traditional management structures
Medium · AI
 ⚡
Why I Built My Own AI: The Case for Self-Hosted Domain Agents (Kulvex)
Learn how to build a self-hosted AI platform with domain agents for home automation, messaging, and more, and why it's a viable alternative to paid services like OpenAI
Dev.to · GaltRanch

Chapters (23)

Welcome and Intro
4:42 Multi-Agent Aya for Workforce
11:33 MCM: Multilingual LLM Capability For Crisis Management
15:44 Evaluating Reward Models in Multilingual Settings
23:07 Identifying mislabelled samples in the Aya dataset
30:26 Synthetic Multilingual Instruction Generation
36:35 DistAYA
43:28 MLCC: Multilingual Climate Chatbot
49:30 Maya: Multimodal Aya
57:01 Multilingual Machine Generated Text Portion Detection
1:02:05 Sanskriti Aya: Designing Linguistic Quality Index to analyze conversational capa
1:11:04 Doclingual: Multilingual Document Understanding
1:19:55 Mechanistically Understanding Aya for Safety Steering
1:25:16 Samskrutha LLM
1:29:50 Enhancing Sinhala NLP
1:35:19 The Language Effect
1:42:07 SpeechAya
1:47:26 SafeAya: Multilingual Adversarial Robustness
1:56:55 Global Exams
2:02:44 StAyaL: Multilingual Style Transfer
2:47:46 Perplexity vs Model Performance Evaluation
2:13:26 Announcing C4AI Research Office Hours
2:17:28 Results from the judges
Up next
Building agents with real-world reasoning
Google for Developers
Watch →