Discover and read the best of Twitter Threads about #ML

Most recents (24)

Ahoy #oceaners 👋

I thought to make all of your weekend more fun and exciting , so, The 2nd part of the @oceanprotocol megathread is here !

Grab an espresso or cappuccino or whatever drink you prefer and enjoy the beauty of what $ocean has created .

#web3 #AI #DataScience Image
In the previous megathread , I explained why we need to actually share data as it will bring a lot of value to humanity and lead to an acceleration in advancement of #AI . I also explained the glorious $ocean data market and how beautifully the way it functions .
I solely don't believe in this, even the World economic forum praised the work of @oceanprotocol by awarding them with the World economic forum Technology pioneer award and we also have big organisations like German central bank, @Unilever , Daimler-Mercedes Benz Singapore ...
Read 23 tweets
1/11: The use of #AI & machine learning (#ML) in financial services brings benefits, but also novel challenges & amplified risks. The question of whether AI can be managed through existing regulations or requires a new approach is crucial in ensuring the interests of the markets.
2/11: Achieving regulatory excellence in #AI regulation involves clear & transparent regulations, a risk-based approach, stakeholder engagement, science-based decision-making, regulatory cooperation, continuous improvement, flexibility, efficient processes & accountability.
3/11: The heterogeneity & constant evolution of #AI algorithms require multiple specialised regulatory agencies to effectively regulate their use. These agencies must build data science capacity, employ flexible strategies & remain vigilant in their regulation.
Read 11 tweets
Top 10 AI/ML Priorities of Space Operations Command (SpOC) and their implications for the future of space missions. #AI #ML #SpaceForce Image
At the top of SpOC’s priorities is "data" - a shared priority across many Defense Department components. The ability to process and interpret vast amounts of data quickly and accurately is crucial for effective decision-making in space operations.
Second on the list is "situational awareness," the basic knowledge and characterization of objects in space and the environment. AI could significantly improve the Space Force's understanding of the space domain, given the growing number of spacecraft and debris on orbit.
Read 18 tweets
New colab!

@LangChainAI 🤝 @elastic

LangChain is a cutting-edge library to make large language models (LLMs) more usable and versatile.

In synergy with ElasticSearch, this powerful duo opens new doors in application development and search applications.

Let's dive in 🧵

LangChain is a toolbox providing a standard interface for LLMs & facilitating their integration with other tools.

It makes developing applications like chatbots, decision-making agents, and more, easier by blending LLMs with other computations & knowledge bases.
Who's it for?

@LangChainAI is perfect for developers looking to harness the potential of LLMs to build transformative applications.

From question-answering apps to intelligent agents, the scope of possibilities with LangChain is immense.
Read 8 tweets
Last week, we discussed techniques to speed up the training speed of large language models🔥💨

How about saving memory during inference? 🧠💾 Check out int8 & int4 quantization, which is supported in Lit-LLama 👉…


#LLMs #ML #DeepLearning Image
How does int8 quantization work? 🤔

It's a 2-part procedure with
1) using 8bit quantization
2) 16-bit matmuls for outlier feature dimensions

Check out the LLM.int8(): 8-bit Matrix Multiplication for Transformers at Scale paper for details

And how about int4? 🤔

It's a one-shot weight quantization method based on approximate second-order information⚙️📉

For more details, see GPTQ: Accurate Post-Training Quantization for Generative Pre-trained Transformers: 📚🔍

Read 3 tweets
1/14) We're delighted to see #Verasity included in this #ArtificialIntelligence & #Crypto report from @BinanceResearch!

$VRA recently received #AI & #ML tags on @CoinMarketCap, but how do we actually deploy #AI and #ML in our tech stack? A thread... 🧵…
2/14) @Vera_Views, our patented solution for video programmatic advertising & bot prevention, is powered by 13 tech modules.

These modules assist in identifying & preventing bots & fraudulent views for publishers and advertisers worldwide, storing this data on an open ledger... Image
3/14) Our #AI and #ML technology lets us analyse large amounts of data to identify patterns, trends & insights in order to optimise ad delivery in real-time, adjusting bidding and targeting based on the performance and viewability of each ad impression... Image
Read 14 tweets
DeepSquare integrates the neural network #text2image model #StableDiffusion.

This thread presents how we #designed and implemented the #workflow to execute Stable Diffusion on the DeepSquare Grid.
We designed the workflow as follows:

The #prompt is sent over an environment variable.
Most of the parameters are sent via environment varibles.
Images are sent to
The docker image is already compiled from… and is exported as…

The steps are as follows:
1-Generate the images. Rows are distributed into task per #GPU.
2-Combine all the images into one grid. Image
Read 8 tweets
🧵Hugging Face, a leader in the #AI community, has revolutionized the creation, collaboration & discovery of ML models & apps.

By open-sourcing their tech, they've become a force in the industry, raising $160M & serving 10k+ companies.

Here's why their approach is key! #ML #NLP Image
🚀Open-sourcing allowed Hugging Face to foster collaboration among researchers & companies, propelling the launch of #ChatGPT - a tipping point in AI's shift from niche to mainstream. #OpenSource #MachineLearning
🌐With a focus on natural language processing & text-to-image tasks, Hugging Face expanded to other domains, hitting 50M page views in Jan.

Open science & open source are vital for ML advancement, despite some companies' commercial goals. #NLP #ComputerVision
Read 13 tweets
👾🧵 AI 101🧵 👾

Dzisiaj podstawy, czyli CO JEST CZYM w świecie #AI? 🤔

Czy sztuczna inteligencja i uczenie maszynowe to synonimy? Czy uczenie głębokie to sieć neuronowa? Gdzie na mapie umiejscowić #ChatGPT?

1/7 👇 Image

Będzie bardzo krótko.

2/7 👇

Nauka, która symuluje wykonywanie przez maszyny czynności zarezerwowanych dla ludzi i wymagających inteligencji.

To pojęcie jest najbardziej ogólne. Jak bardzo i jakie ma to konsekwencje? Zapraszam do lektury wczorajszej, przydługiej🧵 😉

3/7 👇
Read 8 tweets
Here's a comprehensive thread on how to build a seamless batch-scoring experience.

You will learn how to:

🤖 Design ML pipelines with @DVCorg

🐈 Training with @gitlab and CML

🧪 ML experiments with @Iterativeai Studio

🚢 Deployments with @ApacheAirflow

🧵 [1/6]
🤖 Design #ML pipelines using #DVC! Streamline your process with the following steps:

1️⃣ Data prep

2️⃣ Feature engineering

3️⃣ Model training

4️⃣ Model evaluation

DVC optimizes run time & tracks changes for a more efficient workflow!

Get started with 'dvc exp run' 🚀

🧵 [2/6]
Read 14 tweets
@mjrovai @seeedstudio my $15 #xiaoEsp32S3 arrived all three of them. Canadian Import tax was a bit high at $25 CDN not sure if that is fixed or increases if I purchased more.

Excited to test the camera, mic and WiFi to see if it works with robotics, @EdgeImpulse
#ml and #tinyML ImageImage
WiFi antennae was hard to push on, not sure why, I have done a ton before. Camera clipped in easy.
@seeedstudio #xiaoEsp32S3 Image
Off course my setup is not standard so installing the board is a pain. Great instructions at…
Read 20 tweets
AI领域除了 #chatgpt 的母公司OpenAI外,推荐7个值得关注的独角兽:

1/ @databricks : 成立于2013年,估值380亿美元。All in Cloud,是云计算趋势下最成功的 data infra 公司之一,2022 年 8 月收入超过 10 亿美元,一级市场的超级独角兽。投资人有 @a16z 等头部机构。
以及推荐一个podcast:“对话Databricks联合创始人Reynold Xin:380 亿美元估值背后的长期主义”
Read 12 tweets
🤖📚 Descubre las mejores herramientas impulsadas por #AI para la investigación académica y ahorra tiempo para hacer lo que más te gusta
📚 Accede a más información en menos tiempo!
🚀 Dale un impulso a tu investigación académica!
#GPT #DataScience #science #chatGPT #research #ML
Espacio de trabajo para automatizar tareas
Obtén una explicación simple de texto, matemáticas y tablas confusas
Haz preguntas de seguimiento y obtén respuestas instantáneas
Busca papers relevantes
Mejora la colaboración
#Researchtools #science
Automatiza flujos de trabajo
Encuentra papers relevantes sin palabras clave exactas
Resume conclusiones del documento específicas para tu pregunta
Extrae información clave de los documentos
Lluvia de ideas, resumen y clasificación de textos
Read 7 tweets
We are less than a week from the virtual hackathon for #LLM applications in materials science and chemistry. Here is some inspiration from other's applications to drive you!

🗓️ Register and start teaming today:…

#hackathon #openscience #ML #AI
@kmjablonka using fine tuned GPT-3 and GPT-4 (in-line prompting) as a model surrogate for various chemical modeling problems.

Have questions for Kevin? He will be giving a demo during the March 29th live session, and is a co-organizer.

ChatGPT can also be used for applications in drug discovery. Shared via @andrewwwhite01 who is also a hackathon co-organizer and judge.

Read 13 tweets
Day9⃣ of #100dayswithMachineLearning

Topic - Machine Learning Development Life Cycle

#Machinelearning has given the computer systems the abilities to automatically learn without being explicitly #programmed. But how does a machine learning system work? So, it can be described using the #lifecycle of machine learning.
#Machinelearning life cycle is a cyclic process to build an efficient machine learning #project. The main purpose of the life cycle is to find a solution to the problem or project.

Machine learning life cycle involves seven major steps, which are given below:
Read 6 tweets
Live from #GartnerDA | The Future of Data Science and Machine Learning: Critical Trends You Can't Ignore with Svetlana Sicular, Gartner VP Analyst: Image
About this session: Understanding key trends influencing the future of #ML and #DataScience is key for modern enterprise success. Svetlana shares how leaders should plan for future #AI initiatives and improve their current AI solutions: #GartnerDA
#DataScience and #ML is shifting from custom-tailored to ready-to-wear. The fields are going from exactly fitting the business to needing customization for each business function. #GartnerDA Image
Read 14 tweets
Day7⃣ of #100dayswithMachinelearning

Topic - Challenges in Machine Learning

The model will not perform well if training data is small, or noisy with errors outlier or if #data is not representative consist of irrelevant feature(garbage in garbage out) lastly neither too simple(result in #underfitting) nor too complex(results in #overfitting

#DataScience Image
Not enough training data.
Poor Quality of data.
Irrelevant features.
Nonrepresentative training data.
Overfitting and Underfitting.

#DataCleaningchallenge #MachineLearning #Deeplearning #DataAnalytics #DataVisualization #Python #Powerbi #SQL #MYSQL…
Read 5 tweets
Is GPT-4 intelligent enough to solve ARC ( a collection of intelligence tests devised by @fchollet? I ran a few quick experiments to check.
#gpt4 #gpt #ai #ml
In this test, the solution is to output the portion of the grid containing a different coloured cell. Thus the answer to the right-hand side question would be a 6x6 blue grid containing a red cell at the second position in the fourth row down. Image
GPT-4 did provide a smaller grid containing the correct colours (1 and 2). However, it generated a 5x5 blue grid with one red cell in it that was obviously in the wrong place. Not correct, but the gist of its answer was along the right tracks. Image
Read 10 tweets
🚀 Eager to know how digital transformation can impact businesses? Let's dive in! 🌟


#ArtificialIntelligence #BigData #AINews #Analytics #DataScience #AI #PyTorch #Python
🤖 With Web3 and AI on the rise, we are experiencing another wave of tech disruption. These cutting-edge technologies are revolutionizing the way businesses operate and interact with customers.
💥 In the coming months, we can expect to witness the emergence of new startups that leverage the power of Web3 and AI. These companies are likely to challenge traditional businesses and potentially make them obsolete.
Read 5 tweets
Machine Learning (ML) algorithms have revolutionized spatial analysis, providing new insights into geographic data. Here's a list of popular ML algorithms used in #geospatial #DataScience
#DataScience #MachineLearning #SpatialAnalysis #gischat
K-means clustering is a popular unsupervised ML algorithm used for clustering and segmentation of spatial data. It's used to identify spatial patterns, group similar geographic features, and create thematic maps.
Random Forests is a supervised ML algorithm used for classification and regression tasks in Geospatial Data Science. It's used to predict land use, soil properties, and other geographic variables.
Read 7 tweets
Partnership Announcement 📢

In Web3 building a best-in-class Community is key ✅

Yet many projects end up lost as sea when it comes to delivering traction and social proof🤔

That's why we are so delighted to announce we partnered with @TS_CryptoBoston to connect the dots!
Last week, we shared some of our secret sauce for growth with 12 Startups in the @TS_CryptoBoston
@AlgorandFoundation program!

We did this with an interactive value packed workshop including
- Growth Principals
- Content Strategy Playbook
- Execution & examples
We are delighted to have this massive opportunity to connect with so many early stage projects!

@acthevc & @KertyLevy thank you so much!
We appreciate you!

But enough about us and our happiness....

12 really interesting early stage projects so lets go!⬇️
Read 16 tweets
🧵 $TAO Thread Part 2

Another thread of my thoughts over the past month for newcomers delving into $TAO & wanting to learn more

@bittensor_ is a complex project to understand on the surface..

Hopefully these threads help break them down so they are easier to understand 👍
I made a first part to this thread that I encourage you to check out

It will give you a greater insight into $TAO and what they are striving to build

$TAO Thread Part 1 👉
Bittensor in a nutshell ✅

In 4 minutes, you should understand the scope and vision of $TAO
Read 32 tweets
In a highly anticipated move, @Google yesterday announced that they are launching Bard, a conversational AI app that is based on their LaMDA model.

LaMDA - Language Model for Dialogue Applications - has been around for at least a year, but due to variety of considerations it has never been accessible to to the public.

Bard will be using a lighter, more computationally efficient, version of LaMDA. Bard’s rollout will proceed gradually, and in a month or so Google will be releasing an API for it to some trusted partners and developers.

Read 5 tweets
see what the future looks like with AI!

generate scifi style images with an auto-complete interface to help you write prompts quicker.

try now:

made using Leap from @leap_api @fdotinc

#aiart #ai #ml #generativeai #stablediffusion #buildspace #fdotinc
San Francisco
@leap_api @fdotinc just start typing and it'll suggest tags for you to add (just hit enter)
Read 6 tweets

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