Let's embark on an exciting journey where we create unique and exceptional online meetups together. I assure you that these gatherings will be filled with joy and enlightenment. Embrace the spirit of continuous learning and never cease to expand your knowledge .... our 2023 first meetup started this week
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AI powered glasses convert spoken language into written text in realtime. Source : WEF
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🍀 For data science projects, many Python developers opt for Pandas as their data processing tool of choice. However, it does come with concerns such as slower performance with large datasets and limited single-core computation.
🍀 Are there any other options available?
Certainly! One alternative is Dask, which is specifically designed for GPU and distributed environments, enabling efficient utilization of multiple cores.
🍀 What if you're a Rust developer looking for a data processing library?
In that case, you can consider Polars. Written in Rust, Polars can be used as an API library in Python, offering a viable solution for data processing tasks
✍️✍️✍️✍️✍️✍️✍️✍️✍️✍️✍️
🍀 For data science projects, many Python developers opt for Pandas as their data processing tool of choice. However, it does come with concerns such as slower performance with large datasets and limited single-core computation.
🍀 Are there any other options available?
Certainly! One alternative is Dask, which is specifically designed for GPU and distributed environments, enabling efficient utilization of multiple cores.
🍀 What if you're a Rust developer looking for a data processing library?
In that case, you can consider Polars. Written in Rust, Polars can be used as an API library in Python, offering a viable solution for data processing tasks
✍️✍️✍️✍️✍️✍️✍️✍️✍️✍️✍️
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Sam Altman's (founder and CEO of OpenAI) advice on how to thrive in the era of AI
AI news
✍️✍️AI creates 40,000 new roles at Accenture
✍️✍️Lenovo to Invest $1 Billion for Accelerating AI Solutions
✍️✍️AI used to create new and final Beatles song, says Paul McCartney
✍️✍️New EU Regulations Will Be A Thorn In Google Bard’s Side
✍️✍️AMD Launches MI300X AI Accelerator, Takes On NVIDIA H100
✍️✍️AI will be used in southwest England to predict pollution before it happens and help prevent it.
✍️✍️UK government to invest in film and TV AI special-effects research
✍️✍️Microsoft has announced the launch of Azure OpenAI Service on custom data in public preview.
✍️✍️Amazon Is Spending $100 Million to Teach Cloud Customers About AI
Inscribed by,
Raja
✍️✍️AI creates 40,000 new roles at Accenture
✍️✍️Lenovo to Invest $1 Billion for Accelerating AI Solutions
✍️✍️AI used to create new and final Beatles song, says Paul McCartney
✍️✍️New EU Regulations Will Be A Thorn In Google Bard’s Side
✍️✍️AMD Launches MI300X AI Accelerator, Takes On NVIDIA H100
✍️✍️AI will be used in southwest England to predict pollution before it happens and help prevent it.
✍️✍️UK government to invest in film and TV AI special-effects research
✍️✍️Microsoft has announced the launch of Azure OpenAI Service on custom data in public preview.
✍️✍️Amazon Is Spending $100 Million to Teach Cloud Customers About AI
Inscribed by,
Raja
🌿 IBM is introducing WatsonX.ai a brand new Open source pre-trained trained foundation model. It’s going to release on July of this year.
🕸️ https://www.ibm.com/blog/ibm-watsonx-ai-open-source-pre-trained-foundation-models-make-ai-and-automation-easier-than-ever-before/
🕸️ https://www.ibm.com/blog/ibm-watsonx-ai-open-source-pre-trained-foundation-models-make-ai-and-automation-easier-than-ever-before/
IBM Blog
IBM watsonx.ai: Open source, pre-trained foundation models make AI and automation easier than ever before
Discover how watsonx.ai and pre-trained, open source foundation models can help make AI and automation easier across your business.
Yesterday, Databricks Introduced LakehouseIQ: The AI-Powered Engine that Uniquely Understands Your Business https://www.databricks.com/blog/introducing-lakehouseiq-ai-powered-engine-uniquely-understands-your-business
📣 Big AI Updates for music industry
✍️ Google dropped a text-to-music generator.Here's how to set it up and make music (for free):
Access Google Labs
→ Visit this link: labs.withgoogle.com
→ Scroll down to "MusicLM" and click "Join Waitlist" under it
✍️ Open AI Test Kitchen
→ After 2-3 days, you'll get an email from AI Test Kitchen to get off the waitlist
→ Click on the link, then scroll down and press "Try Now" to access MusicLM
P.S not for everybody.. wait for few more days
✍️ Google dropped a text-to-music generator.Here's how to set it up and make music (for free):
Access Google Labs
→ Visit this link: labs.withgoogle.com
→ Scroll down to "MusicLM" and click "Join Waitlist" under it
✍️ Open AI Test Kitchen
→ After 2-3 days, you'll get an email from AI Test Kitchen to get off the waitlist
→ Click on the link, then scroll down and press "Try Now" to access MusicLM
P.S not for everybody.. wait for few more days
Your AI helping hands:
1. Email ➝ warmer.ai
2. Design ➝ stockimg.ai
3. Code ➝ jit.codes
4. Writing ➝ neuraltext.com
5. Search engine ➝ komo.ai
6. Slides ➝ magicslides.app
7. Document ➝ chatpdf.com
8. Jobs ➝ resumemaker.online
1. Email ➝ warmer.ai
2. Design ➝ stockimg.ai
3. Code ➝ jit.codes
4. Writing ➝ neuraltext.com
5. Search engine ➝ komo.ai
6. Slides ➝ magicslides.app
7. Document ➝ chatpdf.com
8. Jobs ➝ resumemaker.online
Coming soon: a new way to learn and develop essential AI skills. 👀
Introducing the Microsoft Learn AI Skills Challenge! ✨ Preview topics and sign up before the challenge begins on July 17:
https://www.microsoft.com/en-US/cloudskillschallenge/ai/registration/2023?ocid=aisc23_CSCLinkedIn_organicsocial_wwl
Introducing the Microsoft Learn AI Skills Challenge! ✨ Preview topics and sign up before the challenge begins on July 17:
https://www.microsoft.com/en-US/cloudskillschallenge/ai/registration/2023?ocid=aisc23_CSCLinkedIn_organicsocial_wwl
We are on Threads as @iampython. Install the app to follow my threads and replies. https://www.threads.net/@iampython
Threads
Threads, an Instagram app
Say more with Threads — Instagram's new text app.
Alibaba launched its generative AI text-to-image model known as Tongyi Wanxiang for testing by corporate customers in China.
The image generator Tongyi Wanxiang is expected to compete with U.S.-based rivals — OpenAI's DALL-E and Midjourney Inc.'s Midjourney.
Tongyi Wanxiang — which means 'tens of thousands of images' in Mandarin — was launched by Alibaba Cloud for beta testing during China’s annual World Artificial Intelligence Conference in Shanghai.
The image generator Tongyi Wanxiang is expected to compete with U.S.-based rivals — OpenAI's DALL-E and Midjourney Inc.'s Midjourney.
Tongyi Wanxiang — which means 'tens of thousands of images' in Mandarin — was launched by Alibaba Cloud for beta testing during China’s annual World Artificial Intelligence Conference in Shanghai.
🔦 Key Highlights of Anthropic's Claude 2 Release
In the dynamic landscape of generative AI, Anthropic and Google are widely recognized as the closest competitors to OpenAI, with their Claude model and PaLM respectively. The recent release of Anthropic's highly anticipated Claude 2 model has sparked considerable interest and comparisons to GPT-4. Here are some important facts about Claude 2 that will help dispel any misconceptions:
🔸 1. Architectural Similarity: Claude 2 closely follows its predecessor, Claude 1.3, in terms of its underlying architecture.
🔸 2. Expanded Token Support: Claude 2 allows for a substantial number of tokens, accommodating around 100,000 tokens (approximately 75,000 words) per prompt. However, it's important to note that this context window was also available in Claude 1.3.
🔸 3. Impressive Scalability: Tests have shown that Claude 2 can handle up to 200,000 tokens while delivering performance improvements, showcasing its scalability.
🔸 4. Up-to-date Pretraining: Claude 2 has been pretrained on data up until early 2023, ensuring its currency and relevance compared to GPT-4.
5. Enhanced Feedback Evaluation: In human feedback evaluations, Claude 2 demonstrated improvements in the helpfulness and honesty of its responses over its predecessors. However, it performed similarly to Claude 1.3 in terms of vulnerability to generating harmful answers.
🔸 6. Coding Skills Advancement: Claude 2 exhibited notable progress in coding skills, achieving a score of 71% in the Codex Human Eval benchmark, surpassing its predecessor's score of 56%.
🔸 7. Mathematical Problem Solving: Claude 2's improvements in mathematical problem-solving were more subtle, achieving an 88% score in the GSM8K benchmark compared to Claude 1.3's 85%.
🔸 8. Exceptional Performances: Remarkably, Claude 2 achieved scores of 76% and 68% on the Multistate Bar Examination and the Medical Licensing Examination tests, respectively.
🎷 Overall, Claude 2 presents a highly impressive release and a compelling alternative to GPT-4. The model is already driving critical applications across various industries, with promising prospects for further adoption in the future.
Reference:https://lnkd.in/eMWvJ5HY
https://claude.ai/login
💢 Unfortunately, Claude.ai is only available in the US and UK. Soon to expand to other regions soon.
In the dynamic landscape of generative AI, Anthropic and Google are widely recognized as the closest competitors to OpenAI, with their Claude model and PaLM respectively. The recent release of Anthropic's highly anticipated Claude 2 model has sparked considerable interest and comparisons to GPT-4. Here are some important facts about Claude 2 that will help dispel any misconceptions:
🔸 1. Architectural Similarity: Claude 2 closely follows its predecessor, Claude 1.3, in terms of its underlying architecture.
🔸 2. Expanded Token Support: Claude 2 allows for a substantial number of tokens, accommodating around 100,000 tokens (approximately 75,000 words) per prompt. However, it's important to note that this context window was also available in Claude 1.3.
🔸 3. Impressive Scalability: Tests have shown that Claude 2 can handle up to 200,000 tokens while delivering performance improvements, showcasing its scalability.
🔸 4. Up-to-date Pretraining: Claude 2 has been pretrained on data up until early 2023, ensuring its currency and relevance compared to GPT-4.
5. Enhanced Feedback Evaluation: In human feedback evaluations, Claude 2 demonstrated improvements in the helpfulness and honesty of its responses over its predecessors. However, it performed similarly to Claude 1.3 in terms of vulnerability to generating harmful answers.
🔸 6. Coding Skills Advancement: Claude 2 exhibited notable progress in coding skills, achieving a score of 71% in the Codex Human Eval benchmark, surpassing its predecessor's score of 56%.
🔸 7. Mathematical Problem Solving: Claude 2's improvements in mathematical problem-solving were more subtle, achieving an 88% score in the GSM8K benchmark compared to Claude 1.3's 85%.
🔸 8. Exceptional Performances: Remarkably, Claude 2 achieved scores of 76% and 68% on the Multistate Bar Examination and the Medical Licensing Examination tests, respectively.
🎷 Overall, Claude 2 presents a highly impressive release and a compelling alternative to GPT-4. The model is already driving critical applications across various industries, with promising prospects for further adoption in the future.
Reference:https://lnkd.in/eMWvJ5HY
https://claude.ai/login
💢 Unfortunately, Claude.ai is only available in the US and UK. Soon to expand to other regions soon.
AI is an umbrella term and a vast field with various subfields and techniques.
1. Machine Learning:
- Supervised Learning
- Unsupervised Learning
- Reinforcement Learning
- Semi-Supervised Learning
- Transfer Learning
- Ensemble Learning
2. Deep Learning:
- Artificial Neural Networks
- Convolutional Neural Networks (CNNs)
- Recurrent Neural Networks (RNNs)
- Generative Adversarial Networks (GANs)
- Transformer Networks
3. Natural Language Processing (NLP):
- Text Classification
- Named Entity Recognition (NER)
- Sentiment Analysis
- Language Translation
- Question-Answering Systems
- Text Generation
4. Computer Vision:
- Image Recognition
- Object Detection
- Image Segmentation
- Image Captioning
- Facial Recognition
5. Robotics:
- Autonomous Robots
- Robotic Process Automation (RPA)
- Human-Robot Interaction (HRI)
- Reinforcement Learning for Robotics
6. Expert Systems:
- Knowledge-Based Systems
- Rule-Based Systems
- Inference Engines
7. Knowledge Representation and Reasoning:
- Ontologies
- First-Order Logic
- Semantic Web
8. Speech Recognition:
- Automatic Speech Recognition (ASR)
- Speech-to-Text Conversion
- Speech Synthesis (Text-to-Speech)
9. Virtual Agents and Chatbots:
- Conversational Agents
- Dialogue Systems
- Chatbot Development
10. Autonomous Vehicles:
- Self-Driving Cars
- Advanced Driver Assistance Systems (ADAS)
- Computer Vision for Autonomous Vehicles
11. Recommender Systems:
- Collaborative Filtering
- Content-Based Filtering
- Hybrid Approaches
12. Game Playing AI:
- Chess AI
- Go AI
- Video Game AI
13. Knowledge Graphs:
- Graph-Based AI
- Semantic Graphs
14. Cognitive Computing:
- Emotion AI
- Context-Aware AI
15. Swarm Intelligence:
- Ant Colony Optimization
- Particle Swarm Optimization
1. Machine Learning:
- Supervised Learning
- Unsupervised Learning
- Reinforcement Learning
- Semi-Supervised Learning
- Transfer Learning
- Ensemble Learning
2. Deep Learning:
- Artificial Neural Networks
- Convolutional Neural Networks (CNNs)
- Recurrent Neural Networks (RNNs)
- Generative Adversarial Networks (GANs)
- Transformer Networks
3. Natural Language Processing (NLP):
- Text Classification
- Named Entity Recognition (NER)
- Sentiment Analysis
- Language Translation
- Question-Answering Systems
- Text Generation
4. Computer Vision:
- Image Recognition
- Object Detection
- Image Segmentation
- Image Captioning
- Facial Recognition
5. Robotics:
- Autonomous Robots
- Robotic Process Automation (RPA)
- Human-Robot Interaction (HRI)
- Reinforcement Learning for Robotics
6. Expert Systems:
- Knowledge-Based Systems
- Rule-Based Systems
- Inference Engines
7. Knowledge Representation and Reasoning:
- Ontologies
- First-Order Logic
- Semantic Web
8. Speech Recognition:
- Automatic Speech Recognition (ASR)
- Speech-to-Text Conversion
- Speech Synthesis (Text-to-Speech)
9. Virtual Agents and Chatbots:
- Conversational Agents
- Dialogue Systems
- Chatbot Development
10. Autonomous Vehicles:
- Self-Driving Cars
- Advanced Driver Assistance Systems (ADAS)
- Computer Vision for Autonomous Vehicles
11. Recommender Systems:
- Collaborative Filtering
- Content-Based Filtering
- Hybrid Approaches
12. Game Playing AI:
- Chess AI
- Go AI
- Video Game AI
13. Knowledge Graphs:
- Graph-Based AI
- Semantic Graphs
14. Cognitive Computing:
- Emotion AI
- Context-Aware AI
15. Swarm Intelligence:
- Ant Colony Optimization
- Particle Swarm Optimization
🚀July 25, 2023
✍️TensorFlow 2.13 and Keras 2.13 have been released! Highlights of this release include publishing Apple Silicon wheels, the new Keras V3 format being default for .keras extension files and many more!
https://blog.tensorflow.org/2023/07/whats-new-in-tensorflow-213-and-keras-213.html
🚀July 26, 2023
👍AWS launches new service AWS HealthScribe (Preview)
Automatically generate clinical notes from patient-clinician conversations
https://aws.amazon.com/healthscribe/
🚀27th July, 2023
✍️Stack Overflow jumps into the generative AI world with OverflowAI
Inscribed by,
Raja
✍️TensorFlow 2.13 and Keras 2.13 have been released! Highlights of this release include publishing Apple Silicon wheels, the new Keras V3 format being default for .keras extension files and many more!
https://blog.tensorflow.org/2023/07/whats-new-in-tensorflow-213-and-keras-213.html
🚀July 26, 2023
👍AWS launches new service AWS HealthScribe (Preview)
Automatically generate clinical notes from patient-clinician conversations
https://aws.amazon.com/healthscribe/
🚀27th July, 2023
✍️Stack Overflow jumps into the generative AI world with OverflowAI
Inscribed by,
Raja
♻️♻️ToolLLM is an amazing project focused on enabling LLMs with tool-use capabilities, presenting great potential for companies to leverage tailored LLMs for their specific business use cases.
✍️The project's main goal is to create an open-source, large-scale, high-quality instruction-tuning SFT data to empower LLMs to master thousands of diverse real-world APIs (16K+!!!).
✍️They utilize the enhanced function call capabilities of the latest ChatGPT (gpt-3.5-turbo-16k) to achieve this.
✍️Paper : https://arxiv.org/abs/2307.16789
✍️ Repo : https://github.com/OpenBMB/ToolBench
✍️The project's main goal is to create an open-source, large-scale, high-quality instruction-tuning SFT data to empower LLMs to master thousands of diverse real-world APIs (16K+!!!).
✍️They utilize the enhanced function call capabilities of the latest ChatGPT (gpt-3.5-turbo-16k) to achieve this.
✍️Paper : https://arxiv.org/abs/2307.16789
✍️ Repo : https://github.com/OpenBMB/ToolBench
GitHub
GitHub - OpenBMB/ToolBench: [ICLR'24 spotlight] An open platform for training, serving, and evaluating large language model for…
[ICLR'24 spotlight] An open platform for training, serving, and evaluating large language model for tool learning. - OpenBMB/ToolBench
Weekly AI Buzz
✍️Microsoft has introduced "Private ChatGPT" on Azure as a no-cost application.
✍️Spotify has globally extended its AI-driven DJ feature, although currently available only in English.
✍️Language models exhibit various political biases, as highlighted by MIT Tech Review.
✍️Researchers have created an AI capable of acoustically recording keystrokes with an impressive accuracy of 92-95 percent.
✍️Stability AI has made an official announcement about StableCode.
✍️Anthropic has launched an enhanced version of its introductory-level LLM.
✍️ChatGPT has broadened the availability of its 'custom instructions' feature to its free users.
✍️Utilizing AI for cancer screening has the potential to reduce radiologists' workloads by 50%.
✍️Apple's CEO, Tim Cook, has verified that Apple has been engaged in developing generative AI for several years.
Inscribed by,
Raja
✍️Microsoft has introduced "Private ChatGPT" on Azure as a no-cost application.
✍️Spotify has globally extended its AI-driven DJ feature, although currently available only in English.
✍️Language models exhibit various political biases, as highlighted by MIT Tech Review.
✍️Researchers have created an AI capable of acoustically recording keystrokes with an impressive accuracy of 92-95 percent.
✍️Stability AI has made an official announcement about StableCode.
✍️Anthropic has launched an enhanced version of its introductory-level LLM.
✍️ChatGPT has broadened the availability of its 'custom instructions' feature to its free users.
✍️Utilizing AI for cancer screening has the potential to reduce radiologists' workloads by 50%.
✍️Apple's CEO, Tim Cook, has verified that Apple has been engaged in developing generative AI for several years.
Inscribed by,
Raja