We’re sharing a **practical guide** to machine translation **quality prediction** with you, based on what we’ve learned making “quality estimation” research work in the real world.
[1/7] 🚀 Introducing the Language Model Transparency Tool - an open-source interactive toolkit for analyzing Transformer-based language models.
We can't wait to see how the community will use this tool!
https://t.co/IsAVDb1Eg9
How is AI accelerating translation for the leading global luxury marketplace? 📈
At XTM Live, @AlexKatsambas will share the story of how @farfetch rolled out AI to accelerate human-quality translation by ██%.
April 11th in NY 🗽
Narrative: all AI is in SF! Cerebral valley!
Counter-narrative:
* #1 open source LLM: Falcon, built in Abu Dhabi, UAE
* It's trending on HuggingFace, a NYC-based company (/France)
* Big AI funding news of the week: Synthesia (London) and Mistral (Paris)
AI = truly global.
Susan & I found MMLU performance jump 6-10 points in the 40s by formatting multiple choice as (A) not A in MMLU (for internal model). All evaluation of LLM's are broken. Evaluating a task requires marginalizing across all prompts that describe the task, not point estimate of one.
This is a thread about what was right and what was wrong in the recent Senate hearings on AI harms featuring @OpenAI CEO @sama, as well as @IBM's @_ChristinaMont and @GaryMarcus (one of the researchers in this field I respect most).
People severely underestimate the complexity of building LLM's. Anyone that has trained good LLM's will tell you it's non-trivial. There are likely a couple hundred people in the world that could train models competitive with ≥GPT-3.5.
.@modelfront's Adam Bittlingmayer on translation quality prediction 🎙 Catch up on https://t.co/uGcsBqxL85 📺 Or head over to Apple Podcasts 👉https://t.co/RuFXd8D0GM and Spotify 👉https://t.co/ndDfVYrGBB.
@bittlingmayer#t9n#xl8#AI#tech#LLM#LLMs
Our next machine translation meetup will be in London!
Join us tomorrow April 18th, 4-6 pm, to enjoy drinks, pizza and fun conversations.
Sign up at https://t.co/QZyMHnBI5Q
🇬🇧 In London? Want to learn more about machine translation quality prediction?
Meet the ModelFront team in London this week for XTM Live, the @machtranslate meetup and LocLunch
🚀 Building Multi task AI agent with @langchain and using @aimstackio to trace and visualize the executions
Let’s play..
We’ll prompt the agent to discover who Leonardo DiCaprio’s girlfriend is and calculate her current age raised to the power of 0.43🧵
1/7
AI progress has skyrocketed with the release of #ChatGPT 🚀
As AI systems get complex, the ability to effectively debug and monitor them becomes crucial.
Check out my latest article on how to use @aimstackio to monitor AI systems built with @langchain
https://t.co/PgqQx5Ngz3