🚀 Microsoft's NEW AI Genius ORCA 2 🤯 Outsmarts GPT-4 in Complex Tasks! | AI Revolution - video Dailymotion

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Microsoft just unveiled ORCA 2 — an AI model so powerful, it's challenging the dominance of GPT-4 in complex reasoning and multi-step problem solving! 🧠💡 Trained to learn from the best, ORCA 2 mimics high-level reasoning like no other model before it. Could this be the next leap toward Artificial General Intelligence (AGI)? Let’s dive into how ORCA 2 is setting a new bar for performance, precision, and potential in AI development. 🔍⚙️  #MicrosoftAI #ORCA2 #AIRevolution #GPT4 #ArtificialIntelligence #MachineLearning #TechNews #FutureTech #AGI #OpenAI #AIUpdate #NextGenAI #AIInnovation #AIComparison #NeuralNetworks #DeepLearning #SmartTech #AITools #MicrosoftResearch #AIvsGPT4

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00:00so microsoft has just released orca 2 a new ai model that can perform complex reasoning tasks

00:06and communicate fluently in natural language this is actually a huge breakthrough in ai

00:11and i'm going to tell you everything you need to know about it also before we begin remember to

00:16subscribe if you haven't done so yet all right so orca 2 is the latest step in microsoft's

00:22efforts to explore the capabilities of smaller language models specifically those with about 13

00:27billion parameters or fewer now if you wonder why there's interest in these smaller models the

00:33reason is that they offer various benefits compared to larger models like gpt4 palm or llama 2 which

00:40have a massive number of parameters in the hundreds of billions these smaller models are simpler to train

00:46set up and operate they also use less computer power and energy this makes them more practical and

00:51cost effective for various organizations regardless of their size or field however smaller models do

00:58have their own set of hurdles one of the main challenges is ensuring they perform well and

01:03accurately on complex tasks these tasks can include answering questions creating explanations or tackling

01:10multi-step problems that need advanced thinking skills now this new model's contribution is essential here

01:16orca 2 is a 7 billion or 13 billion parameter model that is created by fine-tuning

01:21the corresponding llama 2 base models on tailored high quality synthetic data it is designed to

01:27overcome the limitations of smaller models by imitating the reasoning process of larger models

01:32such as gpt4 it can learn from rich signals from gpt4 such as explanation traces step-by-step thought

01:40processes and other complex instructions guided by teacher assistants from chat gpt this way orca 2 can

01:47learn various reasoning techniques such as step-by-step processing recall then generate recall reason

01:52generate extract generate and direct answer methods while also learning to choose different solution

01:58strategies for different tasks for example while a large model like gpt4 can answer complex tasks directly

02:04a smaller model like orca 2 may benefit from breaking the task into steps also to clear up a common

02:10misunderstanding and the views of some individuals it's important to know that orca 2 is not simply

02:16a smaller version of gpt4 it is a smarter and more efficient model that can achieve performance levels

02:23similar to or better than models 5 to 10 times larger as assessed on complex tasks that test advanced

02:30reasoning abilities in zero shot settings zero shot settings are scenarios where the model has to perform

02:35a task without any prior training or examples this is a very challenging and realistic test of the

02:41model's generalization and adaptation skills now let's see how orca 2 does on these tasks we can start

02:48by checking out some of its performance results orca 2 really shines when it comes to the gsm 8k data set

02:54this data set is a collection of over 8.5 000 high quality linguistically diverse grade school math word

03:01problems created by human problem writers these problems require two to eight steps to solve mostly

03:07involving basic arithmetic operations to find the final answer they are designed such that a sharp

03:12middle school student should be able to solve each one this makes the data set ideal for testing

03:17multi-step mathematical reasoning orca 2 shows remarkable proficiency on this benchmark surpassing

03:23models of a similar size including the first orca model its performance is comparable to or even

03:29exceeds larger models like gpt4 and llama 2 chat 70b which are five to ten times its size this achievement

03:36is particularly noteworthy because orca 2 was not exposed to any math problems during its training phase

03:42it tackles these challenges using its reasoning abilities and understanding of natural language orca 2

03:48also performs well on other benchmarks such as big bench hard which is a subset of the big bench data set that

03:54contains the most difficult tasks that require complex reasoning such as logic puzzles word problems

04:00and iq tests it surpasses models of similar size and reaches parity with chat gpt on this benchmark it

04:07also shows competitive performance on professional and academic examinations such as the sat lsat gre and

04:14gmat both in zero shot settings without cot which is a technique that allows the model to access external

04:20knowledge sources and it can answer these questions by using its reasoning skills and natural language

04:26understanding these results show that orca 2 is a powerful and versatile model that can handle a

04:32wide range of tasks and domains obviously microsoft has made orca 2 open source as well which allows

04:39everyone to access utilize and enhance it microsoft's decision to do this is actually commendable it promotes

04:46additional research and teamwork in developing assessing and aligning smaller large language models

04:51now how is orca 2 different from the original orca model that was released in june this year

04:57both orca models have 13 billion parameters but orca 2 uses a different base model llama 2 instead of gpt4

05:05the new model also improves its reasoning skills by using high quality synthetic data and can apply

05:10various methods to solve different types of tasks it performs better than orca in several tests

05:16particularly in the gsm 8k data set that measures multi-step mathematical reasoning additionally orca 2

05:23matches chat gpt in the big bench hard benchmark which evaluates complex reasoning in new situations

05:30in terms of communication orca 2 is again more advanced in producing natural flowing texts conversations

05:36and explanations it uses a range of language features like rhetorical questions casual expressions

05:43and even emoticons it can also adjust its speaking style and tone for different situations and audiences

05:49whether it's formal casual friendly or even sarcastic the new model is also more reliable and

05:55robust than the original orca it can manage a broader variety of inputs and outputs and is better at

06:00dealing with mistakes and uncertainties it is designed to recognize and avoid biases and ethical

06:06concerns in its data and results ensuring its actions and decisions are transparent and responsible

06:11finally orca 2 is more versatile and adaptable it can handle many tasks and fields easily switching

06:17between them it can work alongside other models and systems like gpt4 palm or llama 2 chat 7db benefiting

06:26from their strengths it is also capable of tailoring its outputs and interactions based on user preferences

06:32and specific situations now while impressive the new model isn't without its flaws it carries over

06:39some issues from its predecessors llama 2 and gpt4 like data biases struggling with context and ethical concerns

06:47there's a risk that orca 2 might produce responses that are discriminatory spread misinformation

06:52or go against societal values and ethics especially in situations it's not well versed in

06:58this is particularly troubling because llms like this can greatly influence society and people's lives

07:03it's crucial for orca 2 to align with human values and steer clear of causing harm to improve orca 2

07:10one strategy could be using reinforcement learning from human feedback this method trains the model

07:15using human input and feedback helping it to learn what's beneficial and safe and discouraging damaging

07:21or inappropriate content unfortunately orca 2 doesn't currently employ rlhf or similar safety measures

07:29this absence is a shortcoming that should be addressed as rlhf can greatly increase orca 2's alignment with

07:35human ethics and its overall reliability now if you want to use this new ai model you can run it on

07:40your computer using python environments and interfaces like lm studio or access it online through platforms such

07:46as hugging face or replicate it is actually great for everyday tasks like answering

07:51questions generating text summarizing text and creating code you can also tailor it to your

07:57specific needs by training it with your own data and tasks however it's important to use orca 2 responsibly

08:04be aware that it might produce inappropriate or harmful content especially in areas it's not familiar with

08:10always check that the information orca 2 gives you is accurate and reliable make sure not to use it for bad

08:17purposes you should also be mindful of other people's and entities privacy and rights and adhere to orca 2's

08:23licensing agreement and rules for proper use as we've seen orca 2 is a major step forward in ai

08:29boasting impressive reasoning and language skills so what's your take on this how do you think orca 2 might

08:35fit into your day-to-day tasks or future projects feel free to drop a comment and let us know your thoughts

08:40i'm really curious to hear how you see orca 2 making an impact thanks for watching and see you in the next

08:45one

🚀 Microsoft's NEW AI Genius ORCA 2 🤯 Outsmarts GPT-4 in Complex Tasks! | AI Revolution

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