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Key Highlights:
As we wrap up 2023, there are very informative year-in-review summaries by technology companies, and we have consolidated a list of them as part of this newsletter.
New articles published on Vedcraft covering Generative AI, Key Takeaways from AWS reInvent, KubeCon, and more.
List of innovative tools/technologies observed by our team
Architecture and system design articles you should not miss to read
Finally, food for thought as we start looking ahead for 2024!
New Vedcraft Articles
Key Takeaways from AWS re:Invent 2023 for Software Architects
AWS re:Invent 2023 has continued the tradition of being the most happening cloud computing technology event of the year. This article focused on sharing key takeaways from the event for software architects:
Key Takeaways from KubeCon + CloudNativeCon North America 2023
The North American KubeCon + CloudNativeCon 2023 event in Chicago (Nov. 6 to 9) consisted of 80+ different sessions across 10+ tracks covering the broader spectrum of the Cloud-native landscape. Read about key takeaways from this conference on our platform:
https://vedcraft.com/architecture/key-takeaways-from-kubecon-cloudnativecon-north-america-2023/
Elevate Your AI Journey with Amazon Bedrock: Unraveling The Key Features
Amazon Bedrock, which was announced in April 2023, has drawn a lot of attention from businesses looking to leverage their existing AWS architecture for building Generative AI applications. Amazon announced the General Availability (GA) of Bedrock on September 28. Read details about Bedrock on our platform:
Technology News
While there are many updates, we have started consolidating key news on our platform - click here to visit our News section such as:
Meta launches Code Llama expanding Llama (AI Model) Capabilities
HashiCorp's Licensing Shift to BSL Ignites Debate in the Open Source Community
Stack Overflow announced Generative AI Capability to Boost Developer's Productivity
Innovative Tools and Technologies
This section highlights three technology solutions handpicked by our team:
LangChain: Started as an LLM framework, it has been evolving as a flexible abstractions and extensive toolkit to build context-aware, reasoning LLM applications.
LlamaIndex: Started as a data framework, evolving as an end-to-end LLM framework to build Generative AI applications:
Apache SkyWalking: It is emerging as an Opensource Observability and Application Performance Monitoring tool for distributed systems, especially designed for microservices, cloud native and container-based (Kubernetes) architectures:
Year-in-review Summaries You Should Not Miss
Google Research published advancements in AI and computing covering PaLM2, Bard, Gemini, Responsible AI, Quantum Computing, and more.
Microsoft Research published year in review for AI covering model advancements (RetNet, Phi, Orca), scientific exploration and discovery, and many other innovations.
Tech Predictions for 2024 and beyond by Werner Vogels (AWS CTO)
11 data predictions for AI-centric enterprise growth in 2024
Food for Thought
As per this research published by OpenAI (Weak-to-strong generalization):
We are evolving from humans evaluating AI models (RLHF) towards weaker AI models evaluating stronger AI models considering humans will no longer will be able to keep up
Weaker models help to elicit what the strong model already knows but weaker inputs help stronger models to produce better results (emulating practical scenarios)
Does this raise any question on how the AI and human involvement will evolve?
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